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평가표

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보존된 평가 기록

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코드

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

https://github.com/yangchen1997/wcdt

공식 코드

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation

https://github.com/yangfan-hu/fast-snn

공식 코드

Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN

https://github.com/yanghai-1218/radet

공식 코드

Rigidity-Aware Detection for 6D Object Pose Estimation

https://github.com/yanghtr/ssgnet

공식 코드

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation

https://github.com/yanglei18/Lite-FPN

공식 코드

Lite-FPN for Keypoint-based Monocular 3D Object Detection

https://github.com/yanglei18/mix-teaching

공식 코드

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection

https://github.com/yanglei18/sgv3d

공식 코드

SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection

https://github.com/yangli18/pdnet

공식 코드

PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling

https://github.com/yangli18/vltvg

공식 코드

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning

https://github.com/yangtiming/imov3d

공식 코드

ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images

https://github.com/yangxu351/synthetic_xview_airplanes

공식 코드

SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems

https://github.com/yangxue0827/RotationDetection

공식 코드

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/yangxue0827/STAR-MMRotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yangxue0827/h2rbox-jittor

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/h2rbox-mmrotate

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/rsg-mmrotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yangxy/pasd

공식 코드

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

https://github.com/yangyang-69/Prompt_sam_cryoPPP

공식 코드

Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs

https://github.com/yangyanggirl/bos

공식 코드

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

https://github.com/yangyangyang127/pointclip_v2

공식 코드

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

https://github.com/yangzhaojason/DualDiff

공식 코드

DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance

https://github.com/yangzhifeio/MMGDreamer

공식 코드

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation

https://github.com/yaohungt/Demystifying_Self_Supervised_Learning

공식 코드

Self-supervised Learning from a Multi-view Perspective

https://github.com/yaorong0921/driver-gaze-yolov5

공식 코드

Where and What: Driver Attention-based Object Detection

https://github.com/yaozzz666/dscf-sr

공식 코드

Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution

https://github.com/yaziwel/region-attention-transformer-for-medical-image-restoration

공식 코드

Region Attention Transformer for Medical Image Restoration

https://github.com/yaziwel/restore-rwkv

공식 코드

Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV

https://github.com/ybkscht/EfficientPose

공식 코드

EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach

https://github.com/ybzh/point-dae

공식 코드

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning

https://github.com/yc-zh/wsvm

공식 코드

Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition

https://github.com/ychfan/nsr

공식 코드

Neural Sparse Representation for Image Restoration

https://github.com/ychfan/scn

공식 코드

Scale-wise Convolution for Image Restoration

https://github.com/ycyinchao/rdvp-msd

공식 코드

Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation

https://github.com/ydhcg-bobo/stcmot

공식 코드

STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking

https://github.com/yeeesir/dvs_rdnet

공식 코드

Restoring Real-World Degraded Events Improves Deblurring Quality

https://github.com/yehli/imagenetmodel

공식 코드

Contextual Transformer Networks for Visual Recognition

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