https://github.com/kaidic/LDAM-DRW
공식 코드Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
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/kaihuatang/generalized-long-tailed-benchmarks.pytorch
공식 코드Invariant Feature Learning for Generalized Long-Tailed Classification
https://github.com/kaile-du/agcn
공식 코드AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition
https://github.com/kainmueller-lab/tw-autoencoder
공식 코드Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
https://github.com/kaipengm2/DiffKendall
공식 코드DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
https://github.com/kaiqi123/cktf
공식 코드A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
https://github.com/kaiwang960112/AFM
공식 코드https://github.com/kaka-cao/m3amba
공식 코드M$^3$amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification
https://github.com/kakaobrain/autowu
공식 코드https://github.com/kakaobrain/fast-autoaugment
공식 코드https://github.com/kalelpark/FG-SSL
공식 코드Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification
https://github.com/kalelpark/ral
공식 코드https://github.com/kampelmuehler/synthesizing_human_like_sketches
공식 코드Synthesizing human-like sketches from natural images using a conditional convolutional decoder
https://github.com/kananmahammadli/sllmbo
공식 코드Sequential Large Language Model-Based Hyper-parameter Optimization
https://github.com/kandluis/nn-data-augmentation
공식 코드The Effectiveness of Data Augmentation in Image Classification using Deep Learning
https://github.com/kandluis/yelp-star-reviews
공식 코드Predicting Yelp Star Reviews Based on Network Structure with Deep Learning
https://github.com/kangningthu/its2clr
공식 코드Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
https://github.com/kanyooo/biomed-dpt
공식 코드Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
https://github.com/karl-hajjar/wide-networks
공식 코드Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
https://github.com/karryren/uml
공식 코드Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
https://github.com/kartikgupta-at-anu/attack-bnn
공식 코드Improved Gradient based Adversarial Attacks for Quantized Networks
https://github.com/kartikgupta-at-anu/spline-calibration
공식 코드https://github.com/karttikeya/minrev
공식 코드https://github.com/katharinahech/labelembeddings
공식 코드Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
https://github.com/kau-quantumailab/rfpar
공식 코드https://github.com/kaustubh0mani/BASS-Net
공식 코드https://github.com/kaustubhsridhar/time-series-ood
공식 코드CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
https://github.com/kaydotdev/stochastic-quantization
공식 코드Robust Clustering on High-Dimensional Data with Stochastic Quantization
https://github.com/kbui1993/NonconvexNetworkSlimming
공식 코드https://github.com/kdexd/virtex
공식 코드VirTex: Learning Visual Representations from Textual Annotations
https://github.com/kding1225/VLPT-OOD
공식 코드Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
https://github.com/kdjoumessi/proto-bagnets
공식 코드This actually looks like that: Proto-BagNets for local and global interpretability-by-design
https://github.com/keenon/lense
공식 코드https://github.com/keepgoingjkg/patchct
공식 코드https://github.com/keiserlab/rcav
공식 코드Robust Semantic Interpretability: Revisiting Concept Activation Vectors
https://github.com/keke921/gclloss
공식 코드Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.