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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/zhichenghuang/cmae

공식 코드

Contrastive Masked Autoencoders are Stronger Vision Learners

https://github.com/zhihongz/infwide

공식 코드

INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions

https://github.com/zhimengxin/rcod

공식 코드

Toward Realistic Camouflaged Object Detection: Benchmarks and Method

https://github.com/zhimin-c/bridge3d

공식 코드

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

https://github.com/zhimin-c/multiview-mae

공식 코드

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder

https://github.com/zhiqi-li/BEVFormer

공식 코드

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

https://github.com/zhiqic/gsrformer

공식 코드

GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement

https://github.com/zhiqin1998/bdc

공식 코드

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations

https://github.com/zhirongw/lemniscate.pytorch

공식 코드

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

https://github.com/zhixinwang/frustum-convnet

공식 코드

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

https://github.com/zhizhongchai/orf-net

공식 코드

Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images

https://github.com/zhjy2016/splut

공식 코드

Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution

https://github.com/zhling2020/RIS-GAN

공식 코드

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

https://github.com/zhongping-zhang/sgc_net

공식 코드

Complex Scene Image Editing by Scene Graph Comprehension

https://github.com/zhoudaquan/rethinking_bottleneck_design

공식 코드

Rethinking Bottleneck Structure for Efficient Mobile Network Design

https://github.com/zhouhuang23/fspnet

공식 코드

Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers

https://github.com/zhouhuang23/sba-net

공식 코드

Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images

https://github.com/zhoujingchun03/amsp-uod

공식 코드

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection

https://github.com/zhoumumu/vapsr

공식 코드

Efficient Image Super-Resolution using Vast-Receptive-Field Attention

https://github.com/zhouqiu/sogdet

공식 코드

SOGDet: Semantic-Occupancy Guided Multi-view 3D Object Detection

https://github.com/zhoustan/camsam2

공식 코드

CamSAM2: Segment Anything Accurately in Camouflaged Videos

https://github.com/zhoustan/sam2-vcos

공식 코드

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation

https://github.com/zhouzheyuan/sgm3d

공식 코드

SGM3D: Stereo Guided Monocular 3D Object Detection

https://github.com/zhsun0357/Resonant-Scanned-LiDAR

공식 코드

Resonant Scanning Design and Control for Fast Spatial Sampling

https://github.com/zhu-xlab/st-fsod

공식 코드

Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects

https://github.com/zhuang-group/lit

공식 코드

Less is More: Pay Less Attention in Vision Transformers

https://github.com/zhubinQAQ/CPM-R-CNN

공식 코드

CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection

https://github.com/zhuhaoraneis/orthogonal-fgod

공식 코드

Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping

https://github.com/zhumorui/m3cad

공식 코드

M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark

https://github.com/zhunzhong07/Random-Erasing

공식 코드

Random Erasing Data Augmentation

https://github.com/zhuo-cao/flashvtg

공식 코드

FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding

https://github.com/zhuoxiao-chen/mos

공식 코드

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

https://github.com/zhuoxiao-chen/redb-da-3ddet

공식 코드

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

https://github.com/zhuxing0/sa-radar

공식 코드

Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding

https://github.com/zhuzi24/sgg-toolkit

공식 코드

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

https://github.com/zhyang2226/opa-dpo

공식 코드

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

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