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/huitangtang/SRDCPP
공식 코드https://github.com/huitangtang/on_the_utility_of_synthetic_data
공식 코드https://github.com/huiying-li/blacklight
공식 코드Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
https://github.com/hujie-frank/SENet
공식 코드https://github.com/hujiecpp/InformationCompetingProcess
공식 코드Information Competing Process for Learning Diversified Representations
https://github.com/hula-ai/DAMA
공식 코드https://github.com/human-analysis/MUXConv
공식 코드MUXConv: Information Multiplexing in Convolutional Neural Networks
https://github.com/human-analysis/neural-architecture-transfer
공식 코드https://github.com/humancompatibleai/eirli
공식 코드An Empirical Investigation of Representation Learning for Imitation
https://github.com/humancompatibleai/il-representations
공식 코드An Empirical Investigation of Representation Learning for Imitation
https://github.com/humza909/survery-image-mixing-and-deleting-for-data-augmentation
공식 코드https://github.com/hungntt/LangXAI
공식 코드https://github.com/hunto/actgen
공식 코드https://github.com/hunto/diffkd
공식 코드https://github.com/hunto/dist_kd
공식 코드https://github.com/hunto/lightvit
공식 코드LightViT: Towards Light-Weight Convolution-Free Vision Transformers
https://github.com/hunto/reloss
공식 코드https://github.com/huoxiangzuo/HiFuse
공식 코드HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
https://github.com/hushell/pmf_cvpr22
공식 코드https://github.com/hushell/sib_meta_learn
공식 코드Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
https://github.com/hustvl/EfficientPose
공식 코드EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
https://github.com/hustvl/MSG-Transformer
공식 코드MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
https://github.com/hustvl/mmil-transformer
공식 코드Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification
https://github.com/hustvl/vim
공식 코드Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
https://github.com/hyao1/ecc
공식 코드Exploration of Class Center for Fine-Grained Visual Classification
https://github.com/hyperbolicvit/hyperbolicvit
공식 코드HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space
https://github.com/hyperconnect/LADE
공식 코드Disentangling Label Distribution for Long-tailed Visual Recognition
https://github.com/hyperconnect/fasten
공식 코드Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
https://github.com/hyperevolnet/terminator
공식 코드HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full Context Interaction
https://github.com/hysonlab/multiscalehsi
공식 코드MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
https://github.com/hyunjunChhoi/Balanced_Energy
공식 코드Balanced Energy Regularization Loss for Out-of-distribution Detection
https://github.com/hyunsoocho77/lacl-official
공식 코드https://github.com/hz-zhu/mt-unet
공식 코드https://github.com/hzzone/tcl
공식 코드https://github.com/i13abe/Adaptive-discriminant-and-center
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.