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하위 태스크

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평가표

1

보존된 평가 기록

1

코드

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

https://github.com/GuYuanjie/DeepFusionPrior

공식 코드

Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging

https://github.com/GuanRunwei/Achelous

공식 코드

Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

https://github.com/GuanRunwei/Efficient-VRNet

공식 코드

ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

https://github.com/Guanghan/DANR

공식 코드

Data Augmentation for Object Detection via Differentiable Neural Rendering

https://github.com/GuangluDong0728/SFD

공식 코드

Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment

https://github.com/GuangxingHan/QA-FewDet

공식 코드

Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks

https://github.com/Gumpest/AvatarKD

공식 코드

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

https://github.com/GuoLanqing/ShadowDiffusion

공식 코드

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

https://github.com/HCIILAB/DeRPN

공식 코드

DeRPN: Taking a further step toward more general object detection

https://github.com/HCPLab-SYSU/CD-FER-Benchmark

공식 코드

Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning

https://github.com/HDCVLab/Deblurring-by-Realistic-Blurring

공식 코드

Deblurring by Realistic Blurring

https://github.com/HDCVLab/EDFace-Celeb-1M

공식 코드

EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset

https://github.com/HDCVLab/MC-Blur-Dataset

공식 코드

MC-Blur: A Comprehensive Benchmark for Image Deblurring

https://github.com/HDETR/H-Deformable-DETR

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-Deformable-DETR-mmdet

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-Detic-LVIS

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-3D

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-Pose

공식 코드

DETRs with Hybrid Matching

https://github.com/HEPIUSLAB/ultrasound_spinal_cord_dataset

공식 코드

A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

https://github.com/HIK-LAB/Unsupervised-Image-Classification

공식 코드

Unsupervised Image Classification for Deep Representation Learning

https://github.com/HKUST-Aerial-Robotics/FM-Fusion

공식 코드

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN

공식 코드

Stereo R-CNN based 3D Object Detection for Autonomous Driving

https://github.com/HPL123/RRFS

공식 코드

Robust Region Feature Synthesizer for Zero-Shot Object Detection

https://github.com/HSE-asavchenko/mobile-visual-preferences

공식 코드

Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object Detection

https://github.com/HVision-NKU/Strip-R-CNN

공식 코드

Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

https://github.com/HWQuantum/Simulating-single-photon-detector-array-sensors-for-depth-imaging

공식 코드

Simulating single-photon detector array sensors for depth imaging

https://github.com/HYjhkoh/TM_VOD

공식 코드

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

https://github.com/HZAI-ZJNU/SCSA

공식 코드

SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention

https://github.com/Ha0Tang/LGGAN

공식 코드

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

https://github.com/HakkiMotorcu/HM-Net_WAMI

공식 코드

HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery

https://github.com/Hammour-steak/GOUB

공식 코드

Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

https://github.com/HanjiangHu/Multi-LiDAR-Placement-for-3D-Detection

공식 코드

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving

https://github.com/HaoGood/MOD

공식 코드

Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection

https://github.com/HaochengWan/PVT

공식 코드

PVT: Point-Voxel Transformer for Point Cloud Learning

https://github.com/HaojunYu1998/UltraDet

공식 코드

Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

https://github.com/HarleyHK/FARF

공식 코드

Image Super-resolution via Feature-augmented Random Forest

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