https://github.com/lulor/ood-class-separation
공식 코드Large Class Separation is not what you need for Relational Reasoning-based OOD Detection
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/luludak/mutatenn
공식 코드Exploring Robustness of Image Recognition Models on Hardware Accelerators
https://github.com/lumia-group/apl
공식 코드https://github.com/lumia-group/lot-insts
공식 코드Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
https://github.com/luogen1996/lwtransformer
공식 코드Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
https://github.com/luoyadan/sf-pgl
공식 코드Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
https://github.com/luoyan407/congruency
공식 코드Direction Concentration Learning: Enhancing Congruency in Machine Learning
https://github.com/luoyan407/gradient_adjustment
공식 코드https://github.com/lusinlu/biasloss_skipblocknet
공식 코드https://github.com/luxiangju-PersonAI/iCartoonFace
공식 코드https://github.com/lvchangze/spikeclip
공식 코드SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
https://github.com/lwcver/lwganet
공식 코드LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
https://github.com/lxuniverse/NICE
공식 코드https://github.com/lxysl/plremix
공식 코드PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
https://github.com/lzcemma/lemda
공식 코드https://github.com/lzhangbj/d3gu
공식 코드D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
https://github.com/lzzcd001/OSLSM
공식 코드https://github.com/m-ferdaus/kanice
공식 코드KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements
https://github.com/m-nauta/pipnet
공식 코드Interpreting and Correcting Medical Image Classification with PIP-Net
https://github.com/m4xim4l/dig-in
공식 코드https://github.com/ma-kjh/CMA-OoDD
공식 코드Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
https://github.com/mabdelhack/hyperspectral_image_generator
공식 코드An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow
https://github.com/mace19/MACE
공식 코드MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
https://github.com/machine-perception-robotics-group/attention_branch_network
공식 코드Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
https://github.com/machine-reasoning-ufrgs/spixel-gat
공식 코드Superpixel Image Classification with Graph Attention Networks
https://github.com/maciejczyzewski/batchboost
공식 코드batchboost: regularization for stabilizing training with resistance to underfitting & overfitting
https://github.com/maclll/selc
공식 코드SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
https://github.com/maclong01/DeBiFormer
공식 코드DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention
https://github.com/magamedt/cam-can-see-through-walls
공식 코드https://github.com/magiccircuit/enhance-finegrained
공식 코드https://github.com/mahdi-darvish/gans-augmented-pet-classifier
공식 코드https://github.com/mahdiabavisani/DSRC
공식 코드https://github.com/mahdihosseini/kmcl
공식 코드https://github.com/mahdisalmani/asymmetric-attacks
공식 코드Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry
https://github.com/mahendran-narayanan/SENetV2-Aggregated-dense-layer-for-channelwise-and-global-representations
공식 코드SENetV2: Aggregated dense layer for channelwise and global representations
https://github.com/mahmad00/A-Fast-3D-CNN-for-HSIC
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.