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코드

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

https://github.com/gauravreddy08/OcularAI

공식 코드

MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired

https://github.com/gautamtata/DeepPlastic

공식 코드

A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models

https://github.com/genforce/mganprior

공식 코드

Image Processing Using Multi-Code GAN Prior

https://github.com/geoffreychen777/vc

공식 코드

Semi-supervised Object Detection via Virtual Category Learning

https://github.com/geonhobang/RadarDistill

공식 코드

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features

https://github.com/george-gca/sr-pytorch-lightning

공식 코드

Single Image Super-Resolution Based on Capsule Neural Networks

https://github.com/georgeretsi/segfreekws

공식 코드

Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring

https://github.com/georghess/pmb-nll

공식 코드

Object Detection as Probabilistic Set Prediction

https://github.com/georghess/voxel-mae

공식 코드

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds

https://github.com/georgia-tech-synergy-lab/clamp-vit

공식 코드

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs

https://github.com/geshang777/FOCUS

공식 코드

FOCUS: Towards Universal Foreground Segmentation

https://github.com/geshang777/Seg-R1

공식 코드

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

https://github.com/gewelsji/dgnet

공식 코드

Deep Gradient Learning for Efficient Camouflaged Object Detection

https://github.com/gewelsji/errnet

공식 코드

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

https://github.com/gewu-lab/csol_tpami2021

공식 코드

Class-aware Sounding Objects Localization via Audiovisual Correspondence

https://github.com/gfxdisp/colorvideovdp

공식 코드

Training Neural Networks on RAW and HDR Images for Restoration Tasks

https://github.com/ggjy/DeFeat.pytorch

공식 코드

Distilling Object Detectors via Decoupled Features

https://github.com/ggjy/Hire-Wave-MLP.pytorch

공식 코드

Hire-MLP: Vision MLP via Hierarchical Rearrangement

https://github.com/ggjy/HitDet.pytorch

공식 코드

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

https://github.com/ghostish/objectcentricocccompletion

공식 코드

Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection

https://github.com/giakoumoglou/synco

공식 코드

SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations

https://github.com/giannisdaras/smyrf

공식 코드

SMYRF: Efficient Attention using Asymmetric Clustering

https://github.com/gicait/plitter

공식 코드

pLitterStreet: Street Level Plastic Litter Detection and Mapping

https://github.com/gidariss/AttractioNet

공식 코드

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

https://github.com/gidariss/locnet

공식 코드

LocNet: Improving Localization Accuracy for Object Detection

https://github.com/gidariss/mrcnn-object-detection

공식 코드

Object detection via a multi-region & semantic segmentation-aware CNN model

https://github.com/giddyyupp/coco-minitrain

공식 코드

HoughNet: Integrating near and long-range evidence for bottom-up object detection

https://github.com/girish-lab/Inverse-Flow

공식 코드

Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows

https://github.com/gistairc/HS-SOD

공식 코드

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

https://github.com/git-disl/EVA

공식 코드

Parallel Detection for Efficient Video Analytics at the Edge

https://github.com/git-disl/TOG

공식 코드

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems

https://github.com/git-disl/heterobust

공식 코드

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

https://github.com/git-disl/stdlens

공식 코드

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

https://github.com/gitmehrdad/sfsort

공식 코드

SFSORT: Scene Features-based Simple Online Real-Time Tracker

https://github.com/giuliomattolin/confmix

공식 코드

ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing

https://github.com/gjj45/dams-detr

공식 코드

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion

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