https://github.com/taoyang1122/MutualNet
공식 코드MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
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/taralloc/st-rkm-ood
공식 코드Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
https://github.com/taufikxu/Triple-GAN
공식 코드https://github.com/tayebiarasteh/dp_cxr
공식 코드Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
https://github.com/tayebiarasteh/privacydomain
공식 코드https://github.com/tcmyxc/rescnet
공식 코드https://github.com/tdenottelander/MacroNAS
공식 코드Local Search is a Remarkably Strong Baseline for Neural Architecture Search
https://github.com/tdooms/bilinear-decomposition
공식 코드Bilinear MLPs enable weight-based mechanistic interpretability
https://github.com/tekboart/CHB-image_classification_GradCam
공식 코드https://github.com/tencentailabhealthcare/remix
공식 코드https://github.com/tencentarc/conmim
공식 코드https://github.com/tencentyouturesearch/classification-semicls
공식 코드https://github.com/tencentyouturesearch/highlightdetection-clc
공식 코드https://github.com/tensorflow/adanet
공식 코드Improving Neural Architecture Search Image Classifiers via Ensemble Learning
https://github.com/tensorflow/models
공식 코드https://github.com/tensorflow/models/blob/master/official/vision/modeling/backbones/mobilenet.py
공식 코드https://github.com/tensorflow/models/tree/master/official/vision/beta/modeling/backbones
공식 코드SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
https://github.com/tensorflow/tcav
공식 코드https://github.com/tensorflow/tensor2tensor
공식 코드https://github.com/tensorflow/tensorflow/blob/v2.4.1/tensorflow/python/keras/applications/mobilenet.py
공식 코드MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/tensorflow/tpu
공식 코드MnasNet: Platform-Aware Neural Architecture Search for Mobile
https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/vild
공식 코드Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
공식 코드EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/tensorflow/tpu/tree/master/models/official/resnet/resnet_rs
공식 코드Revisiting ResNets: Improved Training and Scaling Strategies
https://github.com/teodorchiaburu/beexplainable
공식 코드CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
https://github.com/tess100766/manas
공식 코드https://github.com/testingautomated-usi/bisupervised
공식 코드Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
https://github.com/tgargiani/adaptive-boundary
공식 코드Metric Learning and Adaptive Boundary for Out-of-Domain Detection
https://github.com/th-b/bla
공식 코드Bounded logit attention: Learning to explain image classifiers
https://github.com/thalesgroup/trustgan
공식 코드TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks
https://github.com/the-mercury/CIHMLC
공식 코드https://github.com/theFoxofSky/ddf
공식 코드https://github.com/theeighthday/co-teaching
공식 코드Co-Teaching for Unsupervised Domain Adaptation and Expansion
https://github.com/thefonseca/algonauts
공식 코드Unsupervised predictive coding models may explain visual brain representation
https://github.com/thejungwon/gc-fed
공식 코드GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation
https://github.com/thenerd31/vit-cnn-mosquito-image-classification
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.