"If nothing changes, all remaining Nitter instances will go down eventually"
Points: 503 | Comments: 359 | Author: proctrap
Show HN: Lambda function to make a hosts file from your running EC2 instances
Points: 2 | Comments: 0 | Author: andrewstuart
Spot VMs | Google Cloud
Spot VMs are highly affordable compute instances suitable for batch jobs and fault-tolerant workloads.
Cloud GPUs (Graphics Processing Units) | Google Cloud
Increase the speed of your most complex compute-intensive jobs by provisioning Compute Engine instances with cutting-edge GPUs.
Court of first instance (disambiguation) - Wikipedia
instance (Belgium) Tribunal of first instance (France) Court of First Instance (Hong Kong) Courts of First Instance of Peru General Court (European Union)
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Ta…
Copy-Paste has proven to be a very effective data augmentation for instance segmentation which can improve the generalization of the model. We used a task-specific Copy-Paste data augmentation method to achieve good performance on the instance segmen...
Instance variable - Wikipedia
separate copy, or instance. An instance variable has similarities with a class variable, but is non-static. In C++ or Java language, an instance variable is
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Sema…
Weakly-supervised instance segmentation (WSIS) has been considered as a more challenging task than weakly-supervised semantic segmentation (WSSS). Compared to WSSS, WSIS requires instance-wise localization, which is difficult to extract from image-le...
Address Instance-level Label Prediction in Multiple Instance Learning
\textit{Multiple Instance Learning} (MIL) is concerned with learning from bags of instances, where only bag labels are given and instance labels are unknown. Existent approaches in this field were mainly designed for the bag-level label prediction (p...
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations
3D instance segmentation methods often require fully-annotated dense labels for training, which are costly to obtain. In this paper, we present ClickSeg, a novel click-level weakly supervised 3D instance segmentation method that requires one point pe...
johnnylu305/Simple-does-it-weakly-supervised-instance-and-semantic-segmentation
Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017). (⭐ 55)
Instance-based learning - Wikipedia
new problem instances with instances seen in training, which have been stored in memory. Because computation is postponed until a new instance is observed
terraform-aws-modules/terraform-aws-ec2-instance
Terraform module to create AWS EC2 instance(s) resources ?? (⭐ 800)
Instances
Am I crazy or is it impossible to finish the bagua, 3 immortals & roulette instances without ads? Or am I doing something wrong? It’s usually like a minimum of 6 ads or tickets to actually succe...
Hardness of SetCover Reoptimization
We study hardness of reoptimization of the fundamental and hard to approximate SetCover problem. Reoptimization considers an instance together with a solution and a modified instance where the goal is to approximate the modified instance while utiliz...
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
We present an instance segmentation algorithm trained and applied to a CCTV recording of beef cattle during a winter finishing period. A fully convolutional network was transformed into an instance segmentation network that learns to label each insta...
Latest Object Memory Management for Temporally Consistent Video Instance Segmentation
In this paper, we present Latest Object Memory Management (LOMM) for temporally consistent video instance segmentation that significantly improves long-term instance tracking. At the core of our method is Latest Object Memory (LOM), which robustly tr...
CAVIS: Context-Aware Video Instance Segmentation
In this paper, we introduce the Context-Aware Video Instance Segmentation (CAVIS), a novel framework designed to enhance instance association by integrating contextual information adjacent to each object. To efficiently extract and leverage this info...
TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
High-quality instance and panoptic segmentation has traditionally relied on dense instance-level annotations such as masks, boxes, or points, which are costly, inconsistent, and difficult to scale. Unsupervised and weakly-supervised approaches reduce...
Mask-Attention-Free Transformer for 3D Instance Segmentation
Recently, transformer-based methods have dominated 3D instance segmentation, where mask attention is commonly involved. Specifically, object queries are guided by the initial instance masks in the first cross-attention, and then iteratively refine th...
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Instance segmentation in 3D is a challenging task due to the lack of large-scale annotated datasets. In this paper, we show that this task can be addressed effectively by leveraging instead 2D pre-trained models for instance segmentation. We propose...
TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity
Precise spatial fidelity in Image-to-3D multi-instance generation is critical for downstream real-world applications. Recent work attempts to address this by fine-tuning pre-trained Image-to-3D (I23D) models on multi-instance datasets, which incurs s...
Distance to Center of Mass Encoding for Instance Segmentation
The instance segmentation can be considered an extension of the object detection problem where bounding boxes are replaced by object contours. Strictly speaking the problem requires to identify each pixel instance and class independently of the artif...
The Popular Roommates problem
We consider the popular matching problem in a roommates instance with strict preference lists. While popular matchings always exist in a bipartite instance, they need not exist in a roommates instance. The complexity of the popular matching problem i...
Cannnot connecct to ec2 Instance with connect or as ssh even though i have opened all the…
I have done all the fixes and everything I found in stackoverflow or in other sources. But I cannot connect to my EC@ instance. I have also rebooted the instance many times and recreated it into a new...
SOLO: A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentation, it is the arbitrary number of instances that has made instance segmentation much more challenging. In order to predict a mask for each instance, mainstream approaches either...
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based…
Though multiple instance learning (MIL) has been a foundational strategy in computational pathology for processing whole slide images (WSIs), current approaches are designed for traditional hematoxylin and eosin (H&E) slides rather than emerging mult...
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Distantly-supervised Relation Extraction (RE) methods train an extractor by automatically aligning relation instances in a Knowledge Base (KB) with unstructured text. In addition to relation instances, KBs often contain other relevant side informatio...
All-Instances Restricted Chase Termination
The chase procedure is a fundamental algorithmic tool in database theory with a variety of applications. A key problem concerning the chase procedure is all-instances termination: for a given set of tuple-generating dependencies (TGDs), is it the cas...
The 'compilation' argument must be an instance of Compilation
May 27, 2021 · The 'compilation' argument must be an instance of Compilation I checked all dependencies for webpack versions and it was matching the version everywhere. I lost almost two …
Test-Time Training on Video Streams
Prior work has established Test-Time Training (TTT) as a general framework to further improve a trained model at test time. Before making a prediction on each test instance, the model is first trained on the same instance using a self-supervised task...
Permutation sorting and a game on graphs
We introduce a game on graphs. By a theorem of Zermelo, each instance of the game on a finite graph is determined. While the general decision problem on which player has a winning strategy in a given instance of the game is unsolved, we solve the dec...
Filter column to return only one instance of a name after excluding a string
Tags: excel, excel-formula | Score: 0
AWS Spot Instance Limit
Tags: amazon-web-services, amazon-ec2 | Score: 10
Stopping spot instance temporarily
Tags: amazon-ec2-spot-market | Score: 6
Will spot service start a manually stopped spot instance
Tags: amazon-web-services, amazon-ec2, amazon-ec2-spot-market | Score: 2
Error ' not supported between instances of float and str ' when I try to use .sort() on a…
Tags: python | Score: 0
Embedding - Wikipedia
In mathematics, an embedding (or imbedding) is one instance of some mathematical structure contained within another instance, such as a group that is
How to refute a random CSP
Let $P$ be a $k$-ary predicate over a finite alphabet. Consider a random CSP$(P)$ instance $I$ over $n$ variables with $m$ constraints. When $m \gg n$ the instance $I$ will be unsatisfiable with high probability, and we want to find a refutation - i....
What does "Object reference not set to an instance of an object" mean ...
I am receiving this error and I'm not sure what it means? Object reference not set to an instance of an object.