shirgur / AGFVisualizationLinks
Official code for "Attribution Guided Factorization for Neural Networks Visualization"
☆16Updated 2 years ago
Alternatives and similar repositories for AGFVisualization
Users that are interested in AGFVisualization are comparing it to the libraries listed below
Sorting:
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning☆35Updated 2 years ago
- Code for Point-Level Regin Contrast (https//arxiv.org/abs/2202.04639)☆35Updated 2 years ago
- official pytorch implementation of Tobias: A random CNN sees objects and its applications in self-supervised learning.☆28Updated 3 years ago
- ☆33Updated 2 years ago
- [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation☆56Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- "Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8☆27Updated 4 years ago
- PyTorch code and pretrained weights for the UNIC models.☆41Updated last year
- Official Pytorch implementation of "Visual Recognition with Deep Nearest Centroids". (ICLR2023 Spotlight)☆67Updated 2 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆51Updated last year
- This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"☆20Updated 3 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Updated 4 years ago
- Discovering Object Masks for Unsupervised Semantic Segmentation [2022]☆98Updated last year
- [CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)☆51Updated 3 years ago
- (ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.☆64Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- [NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.☆34Updated 3 years ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆16Updated 3 years ago
- ☆85Updated 3 years ago
- Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning☆102Updated last year
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 5 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 3 years ago
- [ECCV2022] Revisiting the Critical Factors of Augmentation-Invariant Representation Learning☆12Updated 3 years ago
- Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013☆37Updated 3 years ago
- Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"☆61Updated last year
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 4 years ago
- Official implementation of "OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions"☆33Updated 2 years ago