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2D Classification

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

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/zhoujiahuan1991/aaai2025-lreid-dask

공식 코드

DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification

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

공식 코드

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

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/zhuang-li/vae-dprior

공식 코드

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

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

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

https://github.com/zhumorui/m3cad

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M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark

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

공식 코드

Random Erasing Data Augmentation

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/zhyack/MAST

공식 코드

Massive Styles Transfer with Limited Labeled Data

https://github.com/zhzihao/wikigenbench

공식 코드

WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario

https://github.com/zichengduan/mvchm

공식 코드

Multiview Detection with Cardboard Human Modeling

https://github.com/zichongc/doesfs

공식 코드

Deformable One-shot Face Stylization via DINO Semantic Guidance

https://github.com/zihao-ai/bot

공식 코드

To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

https://github.com/zihao-ai/unthinking_vulnerability

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To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

https://github.com/zihao-ai/vdc

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VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models

https://github.com/zihao-wang/sparsity-by-redundancy

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spred: Solving $L_1$ Penalty with SGD

https://github.com/zihao-wang/spred

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spred: Solving $L_1$ Penalty with SGD

https://github.com/zijinwuzijin/dof-nerf

공식 코드

DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields

https://github.com/zijwang/modeling_guilt

공식 코드

Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives

https://github.com/zillur-av/wrong-way-vehicle-detection

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A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking

https://github.com/zimoqingfeng/umop

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Progressive Hard-case Mining across Pyramid Levels for Object Detection

https://github.com/ziongo6/fadet

공식 코드

FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention

https://github.com/zip-group/litv2

공식 코드

Fast Vision Transformers with HiLo Attention

https://github.com/zipeizhao/pu-learning-for-cell-detection

공식 코드

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations

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