https://github.com/jmiemirza/actmad
공식 코드ActMAD: Activation Matching to Align Distributions for Test-Time-Training
Papers with Code 아카이브
Image Classification
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- 33
- 평가표
- 177
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- 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/jmj2316/KAN-in-VIsion
공식 코드Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
https://github.com/jmj2316/KAN_CNN/blob/main/kcn.py
공식 코드Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
https://github.com/jmoraga-mines/jigsawhsi
공식 코드https://github.com/jo-wang/tca
공식 코드Is Less More? Exploring Token Condensation as Training-free Adaptation for CLIP
https://github.com/joanaapa/foundation-medical
공식 코드Are Natural Domain Foundation Models Useful for Medical Image Classification?
https://github.com/joe-siyuan-qiao/Batch-Channel-Normalization
공식 코드Rethinking Normalization and Elimination Singularity in Neural Networks
https://github.com/joe-siyuan-qiao/WeightStandardization
공식 코드Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/joeyz0z/lance
공식 코드Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
https://github.com/johannesliu/music-genre-classification
공식 코드MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification
https://github.com/johnarevalo/gmu-mmimdb
공식 코드https://github.com/johnnellas/csae
공식 코드Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders
https://github.com/johnsk95/pt4al
공식 코드PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
https://github.com/johnwlambert/dlupi-heteroscedastic-dropout
공식 코드Deep Learning under Privileged Information Using Heteroscedastic Dropout
https://github.com/jonathancrabbe/simplex
공식 코드https://github.com/jonathanwilton/RobustDecisionTrees
공식 코드Robust Loss Functions for Training Decision Trees with Noisy Labels
https://github.com/joneswack/opu-kernel-experiments
공식 코드Kernel computations from large-scale random features obtained by Optical Processing Units
https://github.com/jordan-bird/synthetic-fruit-image-generator
공식 코드Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation
https://github.com/josedolz/HyperDenseNet
공식 코드HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
https://github.com/joyfang1106/mrla
공식 코드https://github.com/jpeginspireddl/jpeg-inspired-dl
공식 코드https://github.com/jperezlapillo/Hyper-Wave-U-Net
공식 코드Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy
https://github.com/jpwang/lilt
공식 코드https://github.com/jramapuram/variational_saccading
공식 코드Variational Saccading: Efficient Inference for Large Resolution Images
https://github.com/jrterven/eurosat_classification
공식 코드https://github.com/jshilong/FisherPruning
공식 코드https://github.com/jsliam94/cmswinkan
공식 코드https://github.com/jtheiner/semantic_geo_partitioning
공식 코드https://github.com/juan43ramirez/feasible-learning
공식 코드https://github.com/judyxyang/lidar-guided-band-selection
공식 코드LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification
https://github.com/juglab/FourierImageTransformer
공식 코드https://github.com/juho-lee/set_transformer
공식 코드Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
https://github.com/juhongm999/pervit
공식 코드https://github.com/julian075/catalog
공식 코드CATALOG: A Camera Trap Language-guided Contrastive Learning Model
https://github.com/julianofoleiss/gtzan_sturm_filter_3folds_stratified
공식 코드https://github.com/julianofoleiss/lmd_3f_stratified_artist_filter
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.