https://github.com/amazon-science/regression-constraint-model-upgrade
공식 코드ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training
Papers with Code 아카이브
Image Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 33
- 평가표
- 177
- 보존된 평가 기록
- 2,906
Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amberyzheng/LTO
공식 코드Learning to Obstruct Few-Shot Image Classification over Restricted Classes
https://github.com/ameliajimenez/capsule-networks-medical-data-challenges
공식 코드https://github.com/ameliajimenez/shortcuts-chest-xray
공식 코드Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
https://github.com/aminesi/federated
공식 코드https://github.com/amink8/folk
공식 코드Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
https://github.com/aminmoradixl/kan_ae
공식 코드https://github.com/amirhagai/on-adversarial-training-and-the-1-nearest-neighbor-classifier
공식 코드On adversarial training and the 1 Nearest Neighbor classifier
https://github.com/amirhpd/grasp_verification
공식 코드Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification
https://github.com/amirziai/rafic
공식 코드https://github.com/amodas/PRIME-augmentations
공식 코드PRIME: A few primitives can boost robustness to common corruptions
https://github.com/amoliu/CayleyNet
공식 코드CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
https://github.com/amro-kamal/objectpose
공식 코드Progress and limitations of deep networks to recognize objects in unusual poses
https://github.com/amzn/xfer
공식 코드Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
https://github.com/anakin-skywalker-joseph/folder
공식 코드FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance
https://github.com/ananthu-aniraj/masking_strategies_bias_removal
공식 코드Masking Strategies for Background Bias Removal in Computer Vision Models
https://github.com/ananthu-aniraj/pdiscoformer
공식 코드PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
https://github.com/anasedova/agra
공식 코드Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
https://github.com/and-mill/2024-sponge-example-analysis
공식 코드The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
https://github.com/andersgmadsen/tcav-bendr
공식 코드https://github.com/andreanne-lemay/gray_zone_assessment
공식 코드Improving the repeatability of deep learning models with Monte Carlo dropout
https://github.com/andreas-schliebitz/simclr-ae
공식 코드Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings
https://github.com/andreaspapac/cwcomp
공식 코드Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
https://github.com/andrebola/contrastive-mir-learning
공식 코드Enriched Music Representations with Multiple Cross-modal Contrastive Learning
https://github.com/andrebola/patterns-genres
공식 코드https://github.com/andreluizbvs/insplad
공식 코드InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
https://github.com/andrewbo29/mtm-meta-learning-sa
공식 코드Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
https://github.com/andron00e/sparsecbm
공식 코드Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
https://github.com/andyzeng/arc-robot-vision
공식 코드https://github.com/angelomenezes/Pytorch_Face_SR
공식 코드https://github.com/anguyen8/chm-corr-interactive
공식 코드https://github.com/anguyen8/nearest-neighbor-XAI
공식 코드https://github.com/anguyen8/visual-correspondence-xai
공식 코드Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
https://github.com/anirudhsom/PI-Net
공식 코드PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
https://github.com/anisamziane/rawtexture
공식 코드Learning deep illumination-robust features from multispectral filter array images
https://github.com/anish-lu-yihe/pySVRT
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.