https://github.com/RockySJ/WDGRL
공식 코드Wasserstein Distance Guided Representation Learning for Domain Adaptation
Papers with Code 아카이브
Image Classification
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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/Rohit-Kundu/Two-Step-Feature-Enhancement
공식 코드Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
https://github.com/RuishanLiu/GAN-TSC
공식 코드Teacher-Student Compression with Generative Adversarial Networks
https://github.com/RuiyangJu/TripleNet
공식 코드Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification
https://github.com/RunpeiDong/DGMS
공식 코드Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
https://github.com/RuoyiDu/PMG-Progressive-Multi-Granularity-Training
공식 코드Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
https://github.com/RyanWangZf/Influence_Subsampling
공식 코드Less Is Better: Unweighted Data Subsampling via Influence Function
https://github.com/SCUT-AILab/DCP
공식 코드Discrimination-aware Network Pruning for Deep Model Compression
https://github.com/SHI-Labs/Compact-Transformers
공식 코드https://github.com/SHI-Labs/Convolutional-MLPs
공식 코드https://github.com/SHI-Labs/Neighborhood-Attention-Transformer
공식 코드https://github.com/SIP-Lab/Deep-Learning-Mobile
공식 코드Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
https://github.com/SLAD-ml/few-shot-ood
공식 코드Out-of-Domain Detection for Low-Resource Text Classification Tasks
https://github.com/SLAMPAI/large-scale-pretraining-transfer
공식 코드https://github.com/SLDGroup/GreedyViG
공식 코드GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
https://github.com/SLDGroup/ZiCo
공식 코드ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
https://github.com/SMART-Research/leaffeatures_paper
공식 코드Computer-aided Interpretable Features for Leaf Image Classification
https://github.com/SS47816/AGI-Elo
공식 코드https://github.com/SYangDong/tse-t
공식 코드Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
https://github.com/Sadegh28/SIFS
공식 코드https://github.com/SaiTeja-Erukude/identifying-bias-in-dnn-classification
공식 코드Identifying Bias in Deep Neural Networks Using Image Transforms
https://github.com/SamWilso/HDFF_Official
공식 코드Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
https://github.com/Sarasra/models
공식 코드https://github.com/SarielMa/Increasing-Margin-Adversarial-Training
공식 코드Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
https://github.com/Satyajithchary/MedInfoLab_Capsule_Vision_2024_Challenge
공식 코드A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT
https://github.com/SebastianKaltenbach/PhysicalConstraints_ProbabilisticCG
공식 코드https://github.com/Sha-Lab/FEAT
공식 코드Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
https://github.com/ShaneShen/ENL-FCN
공식 코드Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
https://github.com/ShannonAI/glyce
공식 코드https://github.com/ShannonAI/kfolden-ood-detection
공식 코드$k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection
https://github.com/Shaoli-Huang/SnapMix
공식 코드SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
https://github.com/Shawey94/ICML2024-InterLUDE
공식 코드InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
https://github.com/Shawey94/NoisyNN
공식 코드NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems
https://github.com/ShayanPersonal/checkered-cnn
공식 코드Improving the Resolution of CNN Feature Maps Efficiently with Multisampling
https://github.com/ShengcaiLiao/TransMatcher
공식 코드TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
https://github.com/ShihaoZhaoZSH/Video-Backdoor-Attack
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.