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/ZF1044404254/MMAL-Net
공식 코드Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/ZF1044404254/TBMSL-Net
공식 코드Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/ZFT-CQU/DSDL
공식 코드Deep Semantic Dictionary Learning for Multi-label Image Classification
https://github.com/ZFTurbo/Verilog-Generator-of-Neural-Net-Digit-Detector-for-FPGA
공식 코드Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA
https://github.com/ZHKKKe/DualStudent
공식 코드Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
https://github.com/ZJULearning/PTL
공식 코드https://github.com/ZLeopard/PEDCC-Loss
공식 코드A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
https://github.com/ZainNasrullah/music-artist-classification-crnn
공식 코드Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/ZhangLi-CS/GCP_Optimization
공식 코드Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
https://github.com/ZhangVision/bitnet
공식 코드https://github.com/ZhangYuanhan-AI/NOAH
공식 코드https://github.com/ZhaoweiZhu1995/HOC
공식 코드Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
https://github.com/Zhengbo-Zhang/ITKD
공식 코드https://github.com/ZhengyuZhao/Adi-Red-Scene
공식 코드From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition
https://github.com/ZhengyuZhao/PerC-Adversarial
공식 코드Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
https://github.com/ZhenyueQin/Research-Softmax-with-Mutual-Information
공식 코드Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
https://github.com/ZhihuaLiuEd/SoTA-Brain-Tumor-Segmentation
공식 코드https://github.com/ZhouYanzhao/ORN
공식 코드https://github.com/ZhouYuxuanYX/SP-ViT
공식 코드https://github.com/ZhuMai/RKCNN
공식 코드Convolutional Neural Networks combined with Runge-Kutta Methods
https://github.com/ZiweiWangTHU/ISL
공식 코드Instance Similarity Learning for Unsupervised Feature Representation
https://github.com/ZohebAbai/Tiny-ImageNet-Challenge
공식 코드https://github.com/a-vzer/waveletflowpytorch
공식 코드Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
https://github.com/a12dongithub/vlmcce
공식 코드Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context
https://github.com/a1noack/interp_regularization
공식 코드An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness
https://github.com/a554b554/DefenseByAttack
공식 코드One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
https://github.com/a791702141/GATN
공식 코드Graph Attention Transformer Network for Multi-Label Image Classification
https://github.com/aa-samad/conv_snn
공식 코드Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
https://github.com/aaltopml/forde
공식 코드Input-gradient space particle inference for neural network ensembles
https://github.com/aaltopml/node-bnn-covariate-shift
공식 코드Tackling covariate shift with node-based Bayesian neural networks
https://github.com/aanna0701/SPT_LSA_ViT
공식 코드https://github.com/aaron-jx-li/r3-protopnet
공식 코드Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
https://github.com/aaronserianni/training-free-nas
공식 코드Training-free Neural Architecture Search for RNNs and Transformers
https://github.com/aayushmanace/patchalign24
공식 코드PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
https://github.com/abanitalebi/RePaint
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.