https://github.com/psandovalsegura/pytorch-gd-uap
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Papers with Code 아카이브
Object Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 9
- 보존된 평가 기록
- 31
Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.
<span style="color:grey; opacity: 0.6">( Image credit: Tensorflow Object Detection API )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pseulki/rococo
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pudae/tensorflow-densenet
https://github.com/pujols/Zero-shot-learning-journal
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
https://github.com/pwc-1/Paper-8/tree/main/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pyaf/DenseNet-MURA-PyTorch
https://github.com/pytorch/captum
https://github.com/pytorch/vision
https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
https://github.com/qu-arx/arx-inf
https://github.com/radiradev/contrastive-neutrino
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/rafaelmata357/Flower-image-classifier
https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses
https://github.com/rahimentezari/datadistributiontransferlearning
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/rajatashhpa/1
https://github.com/rajatkoner08/oodformer
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/rajkumargithub/densenet.mura
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
https://github.com/ramanakshay/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ramyamounir/PredNet
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
https://github.com/rarriaza/ATPRO_HCNN
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
https://github.com/raunak222/Image-Captioning
https://github.com/ravikothari510/crossattention_radar_detector
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
https://github.com/rdbch/simclr
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/rdbch/tutorial_simclr
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/redcaps-dataset/redcaps-downloader
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rehg-lab/lowshot-shapebias
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
https://github.com/reppy4620/SimCLR4Paint
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/researchmm/SiamDW
https://github.com/researchmm/WSOD2
Multiple Instance Detection Network with Online Instance Classifier Refinement
https://github.com/rgeirhos/texture-vs-shape
https://github.com/rinnakk/japanese-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rishidarkdevil/daam-i2i
https://github.com/rmastand/jetclr_ad
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/rmkemker/EarthMapper
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
https://github.com/robin-schneider/cicy-fourfolds
https://github.com/rowhanm/ambient-sound-self-supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.