Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/ai-application-and-integration-lab/rdpn6d

공식 코드

RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images

https://github.com/ai-chen-lab/mtoie

공식 코드

Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement Systems

https://github.com/ai-forever/cerberusdet

공식 코드

CerberusDet: Unified Multi-Dataset Object Detection

https://github.com/ai-forever/dynamic_gestures

공식 코드

HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition

https://github.com/ai4ce/DiscoNet

공식 코드

Learning Distilled Collaboration Graph for Multi-Agent Perception

https://github.com/ai4ce/MSG

공식 코드

Multiview Scene Graph

https://github.com/ai4ce/seeunsafe

공식 코드

When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis

https://github.com/aifarms/multi-camera-pig-tracking

공식 코드

Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras

https://github.com/aiiu-lab/blenda

공식 코드

BlenDA: Domain Adaptive Object Detection through diffusion-based blending

https://github.com/ailab-cvc/groupmixformer

공식 코드

Advancing Vision Transformers with Group-Mix Attention

https://github.com/ailab-cvc/unireplknet

공식 코드

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

https://github.com/ailab-cvc/yolo-world

공식 코드

YOLO-World: Real-Time Open-Vocabulary Object Detection

https://github.com/aim-uofa/DiverGen

공식 코드

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

https://github.com/aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping

공식 코드

Recurrent Pixel Embedding for Instance Grouping

https://github.com/aimotive/aimotive-dataset-loader

공식 코드

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

https://github.com/aimotive/aimotive_dataset

공식 코드

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

https://github.com/air-discover/dqs3d

공식 코드

DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection

https://github.com/air-thu/dair-rcooper

공식 코드

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

https://github.com/air-thu/dair-v2x

공식 코드

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

https://github.com/airl-iisc/indraeye

공식 코드

SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems

https://github.com/airotau/pointpillarshailoinnoviz

공식 코드

Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI Accelerator

https://github.com/airou-lab/SynthCRAV

공식 코드

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets

https://github.com/ais-bonn/jetsontrtperception

공식 코드

3D Semantic Scene Perception using Distributed Smart Edge Sensors

https://github.com/ais-bonn/smartedgesensor3dsceneperception

공식 코드

3D Semantic Scene Perception using Distributed Smart Edge Sensors

https://github.com/ais-clemson/visiongpt

공식 코드

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

https://github.com/aitor-martinez-seras/ood_in_object_detection

공식 코드

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data

https://github.com/aitor-martinez-seras/snn-automotive-object-detection

공식 코드

Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery

https://github.com/aixmobility/the-drift

공식 코드

DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environmen

https://github.com/ajaychawda58/id_cnn

공식 코드

Dimensionality of datasets in object detection networks

https://github.com/ajedgley/rebound

공식 코드

ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning

https://github.com/ajhamdi/SADA

공식 코드

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

https://github.com/akasha-imaging/iccv2021

공식 코드

Towards Rotation Invariance in Object Detection

https://github.com/akhilpm/dronedetectron2

공식 코드

Cascaded Zoom-in Detector for High Resolution Aerial Images

https://github.com/akhilpm/dronessod

공식 코드

Density Crop-guided Semi-supervised Object Detection in Aerial Images

https://github.com/akhilpm/semiwsod

공식 코드

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

https://github.com/akhtarvision/bpc_calibration

공식 코드

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

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