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/labribkb/fem
공식 코드https://github.com/labsaint/spd-conv
공식 코드https://github.com/laion-ai/scaling-laws-openclip
공식 코드Reproducible scaling laws for contrastive language-image learning
https://github.com/lakpa-tamang9/margin_ood
공식 코드Margin-bounded Confidence Scores for Out-of-Distribution Detection
https://github.com/lalonderodney/D-Caps
공식 코드Diagnosing Colorectal Polyps in the Wild with Capsule Networks
https://github.com/lampinen/HoMM
공식 코드https://github.com/lampinen/HoMM_cards
공식 코드https://github.com/lancopku/avg-avg
공식 코드Holistic Sentence Embeddings for Better Out-of-Distribution Detection
https://github.com/lancopku/clip-openness
공식 코드https://github.com/lancopku/gnome
공식 코드https://github.com/lancopku/well-classified-examples-are-underestimated
공식 코드Well-classified Examples are Underestimated in Classification with Deep Neural Networks
https://github.com/lanfeng4659/knowledgeminingwithscenetext
공식 코드Knowledge Mining with Scene Text for Fine-Grained Recognition
https://github.com/lanfenghuanyu/Sill-Net
공식 코드Sill-Net: Feature Augmentation with Separated Illumination Representation
https://github.com/lanfz2000/vlm-cpl
공식 코드https://github.com/lanl/spikingBackprop
공식 코드The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
https://github.com/lapisrocks/DiscreteAdversarialDistillation
공식 코드Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
https://github.com/laprf/dstc
공식 코드Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
https://github.com/larsdoorenbos/ncis
공식 코드Non-Linear Outlier Synthesis for Out-of-Distribution Detection
https://github.com/larsmaaloee/BIVA
공식 코드https://github.com/lassiraa/weighting-game
공식 코드The Weighting Game: Evaluating Quality of Explainability Methods
https://github.com/lautaroest/sucpa-convergence
공식 코드https://github.com/lawliet-zzl/ca
공식 코드https://github.com/lawliet-zzl/fig
공식 코드Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
https://github.com/lawliet-zzl/lcvd
공식 코드Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data
https://github.com/layer6ai-labs/ssl-robustness
공식 코드Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
https://github.com/layumi/AdaBoost_Seg
공식 코드Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
https://github.com/layumi/Cifar10-Adaboost
공식 코드Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
https://github.com/layumi/Person-reID_GAN
공식 코드Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/lazizcodes/twicing_attention
공식 코드Transformer Meets Twicing: Harnessing Unattended Residual Information
https://github.com/lblaoke/BTCP
공식 코드Identifying Incorrect Classifications with Balanced Uncertainty
https://github.com/lblaoke/rf-dlc
공식 코드Making Reliable and Flexible Decisions in Long-tailed Classification
https://github.com/lblaoke/tlc
공식 코드https://github.com/lccol/vig-eo
공식 코드https://github.com/lciernik/similarity_consistency
공식 코드Training objective drives the consistency of representational similarity across datasets
https://github.com/lcmou/DRL4BS
공식 코드Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.