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코드

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

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

공식 코드

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

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

공식 코드

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

https://github.com/adlnlp/form_nlu

공식 코드

Form-NLU: Dataset for the Form Natural Language Understanding

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

Spatial Transformer Network YOLO Model for Agricultural Object Detection

https://github.com/aesrgan/A-ESRGAN

공식 코드

A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators

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

공식 코드

Scale-Aware Modulation Meet Transformer

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

공식 코드

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

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

공식 코드

Learn from Foundation Model: Fruit Detection Model without Manual Annotation

https://github.com/agusgun/cisr

공식 코드

CISRNet: Compressed Image Super-Resolution Network

https://github.com/aharley/neural_3d_mapping

공식 코드

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

https://github.com/ahupujr/ntire2025_eventdeblur_challenge

공식 코드

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

https://github.com/ahupujr/refid

공식 코드

A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild

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/sg-detr

공식 코드

Saliency-Guided DETR for Moment Retrieval and Highlight Detection

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

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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

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

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

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

https://github.com/aimagelab/alfie

공식 코드

Alfie: Democratising RGBA Image Generation With No $$$

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

공식 코드

Recurrent Pixel Embedding for Instance Grouping

https://github.com/aimerykong/predictive-filter-flow

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Image Reconstruction with Predictive Filter Flow

https://github.com/aimiokab/misr-s2

공식 코드

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series

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

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