Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/abhineet123/animal_detection

공식 코드

Animal Detection in Man-made Environments

https://github.com/abhineet123/deep_mdp

공식 코드

Deep MDP: A Modular Framework for Multi-Object Tracking

https://github.com/abhishekaich27/proscale-pytorch

공식 코드

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

https://github.com/abhishekbaghel11/Traffic-light-detection-in-adverse-weather-conditions

공식 코드

Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions

https://github.com/abraham-einstein/smfnet

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A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion

https://github.com/abrain-one/nn-dataset

공식 코드

LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-plots

공식 코드

LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-vr

공식 코드

LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abril4416/Mod-Zero-VQA

공식 코드

Modularized Zero-shot VQA with Pre-trained Models

https://github.com/abukhalaf/FeedbackFromPixels_L4DC2021

공식 코드

Feedback from Pixels: Output Regulation via Learning-Based Scene View Synthesis

https://github.com/acaelles97/devis

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DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

https://github.com/acfr/cassdetect

공식 코드

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides

https://github.com/acschaefer/ppe

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A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans

https://github.com/acse-dc1823/spotID

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Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach

https://github.com/adambielski/move-seg

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MOVE: Unsupervised Movable Object Segmentation and Detection

https://github.com/adamdad/consistentteacher

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Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection

https://github.com/adeandrade/research

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Conditional and Residual Methods in Scalable Coding for Humans and Machines

https://github.com/adebayoj/sanity_checks_saliency

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Sanity Checks for Saliency Maps

https://github.com/adept-thu/RoboFusion

공식 코드

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM

https://github.com/adept-thu/dual-radar

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Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

https://github.com/adiko1997/revit

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ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections

https://github.com/aditya-vora/FCHD-Fully-Convolutional-Head-Detector

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FCHD: Fast and accurate head detection in crowded scenes

https://github.com/adlab-autodrive/bevfusion

공식 코드

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

https://github.com/adlab-autodrive/bevheight

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BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection

https://github.com/adlab3ds/tig-bev

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TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning

https://github.com/adlnlp/form_nlu

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Form-NLU: Dataset for the Form Natural Language Understanding

https://github.com/adlsn/logbnet

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Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation

https://github.com/adnanmunir294/uavd-cbra

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Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts

https://github.com/adnanul-islam-jisun/vistext-mosquito

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VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning

https://github.com/adrania/sleep-events-detection

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Multi-task deep-learning for sleep event detection and stage classification

https://github.com/advanced-vision-and-learning-lab/stn-yolo

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Spatial Transformer Network YOLO Model for Agricultural Object Detection

https://github.com/afeng-x/smt

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Scale-Aware Modulation Meet Transformer

https://github.com/agent-sgs/pillarnet

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PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection

https://github.com/agroboticsresearch/sdm-d

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Learn from Foundation Model: Fruit Detection Model without Manual Annotation

https://github.com/aharley/neural_3d_mapping

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Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping

https://github.com/ahmadmughees/sh17dataset

공식 코드

SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry

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