Papers with Code 아카이브

Image Recognition

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/HCPLab-SYSU/HSE

공식 코드

Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

https://github.com/Healthcare-Robotics/spectrovision

공식 코드

Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging

https://github.com/JDAI-CV/LIO

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Look-into-Object: Self-supervised Structure Modeling for Object Recognition

https://github.com/LeapLabTHU/LearnableISDA

공식 코드

Fine-grained Recognition with Learnable Semantic Data Augmentation

https://github.com/LinShiqi047/PatchAutoAugment

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Local Patch AutoAugment with Multi-Agent Collaboration

https://github.com/M-Nauta/ProtoTree

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Neural Prototype Trees for Interpretable Fine-grained Image Recognition

https://github.com/OfficialBishal/GeomMaskAttack

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Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition

https://github.com/Westlake-AI/openmixup

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Exploring Localization for Self-supervised Fine-grained Contrastive Learning

https://github.com/ZF1044404254/MMAL-Net

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Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

https://github.com/ZF1044404254/TBMSL-Net

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Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

https://github.com/apple/ml-dms-dataset

공식 코드

A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing

https://github.com/arkel23/DownSamplingInterLayerAdapter

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Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition

https://github.com/arkel23/GLSim

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Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers

https://github.com/arkel23/clca

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Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition

https://github.com/avichapman/feature-magnitude-regularization

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Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization

https://github.com/bardia-az/ppa-code

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Privacy-Preserving Autoencoder for Collaborative Object Detection

https://github.com/chensonglu/LPD-end-to-end

공식 코드

End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining

https://github.com/chequanghuy/Character-Time-series-Matching

공식 코드

Character Time-series Matching For Robust License Plate Recognition

https://github.com/chishengchen/resvmamba

공식 코드

Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning

https://github.com/chou141253/fgvc-pim

공식 코드

A Novel Plug-in Module for Fine-Grained Visual Classification

https://github.com/deepneuroscience/DeepThermalImaging

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Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns

https://github.com/dinghaoxuan/oneshotlp

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A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot

https://github.com/edchengg/oven_eval

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Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities

https://github.com/facebookresearch/visual-counterfactuals

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Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals

https://github.com/franziska-schirrmacher/lpr-uncertainty

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Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

https://github.com/haoygong/lpdgan

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A Dataset and Model for Realistic License Plate Deblurring

https://github.com/hawkeye-finegrained/hawkeye

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Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning

https://github.com/healthcare-robotics/mr-gan

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Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks

https://github.com/herolab-uga/matsee

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Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots

https://github.com/icarofua/vehicle-rear

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Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks

https://github.com/jiangtaoxie/fast-MPN-COV

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Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization

https://github.com/junweizheng93/materobot

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MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments

https://github.com/lima001/ufpr-vcr-dataset

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Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark

https://github.com/linusericsson/ssl-transfer

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How Well Do Self-Supervised Models Transfer?

https://github.com/mhtusher131/bengali-license-plate-recognition_unveling-clarity-with-cnn-and-gfp-gan

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Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN

https://github.com/mut-deep/ir-lpr

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IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.