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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/Westlake-AI/openmixup

공식 코드

Exploring Localization for Self-supervised Fine-grained Contrastive Learning

https://github.com/WinFrand/MELM

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Min-Entropy Latent Model for Weakly Supervised Object Detection

https://github.com/Windere/snn-cvt-dual-phase

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Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization

https://github.com/Windstudent/Complex-MTASSNet

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Multi-Task Audio Source Separation

https://github.com/Winfrand/C-MIL

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C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

https://github.com/WongKinYiu/CrossStagePartialNetworks

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CSPNet: A New Backbone that can Enhance Learning Capability of CNN

https://github.com/WongKinYiu/ScaledYOLOv4

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Scaled-YOLOv4: Scaling Cross Stage Partial Network

https://github.com/WongKinYiu/YOLO

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YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

https://github.com/WongKinYiu/yolor

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You Only Learn One Representation: Unified Network for Multiple Tasks

https://github.com/WonwoongCho/GDWCT

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Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

https://github.com/WoojuLee24/OA-DG

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Object-Aware Domain Generalization for Object Detection

https://github.com/WorldHellow/mHallucinations-LLM

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How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild

https://github.com/Wuziyi616/LEOD

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LEOD: Label-Efficient Object Detection for Event Cameras

https://github.com/XJTU-Haolin/TT3D

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3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration

https://github.com/XLearning-SCU/2025-CVPR-MaIR

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MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

https://github.com/XN-BoWenMa/Chapter-category-identification

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Enhancing Identification of Structure Function of Academic Articles Using Contextual Information

https://github.com/XavierYoungY/SALT-Net

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Rethinking the Misalignment Problem in Dense Object Detection

https://github.com/Xharlie/pointnerf

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Point-NeRF: Point-based Neural Radiance Fields

https://github.com/Xiangyu-Gao/Radar_multiple_perspective_object_detection

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RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

https://github.com/Xianpeng919/MonoCon

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Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection

https://github.com/Xiaoqi-Zhao-DLUT/DANet-RGBD-Saliency

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A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency

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Suppress and Balance: A Simple Gated Network for Salient Object Detection

https://github.com/XingangPan/IBN-Net

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/XingangPan/Switchable-Whitening

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Switchable Whitening for Deep Representation Learning

https://github.com/Xinyi6/DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News

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DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News

https://github.com/XinyiYing/RGBT-Tiny

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Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines

https://github.com/XiongweiWu/Awesome-Object-Detection

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Recent Advances in Deep Learning for Object Detection

https://github.com/Xuan-World/Mamba-YOLO-World

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Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

https://github.com/XueHaoWang-Beijing/DQSF

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Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection

https://github.com/XueHaoWang-Beijing/DRLF

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Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

https://github.com/XuezheMax/wolf

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Decoupling Global and Local Representations via Invertible Generative Flows

https://github.com/XunshanMan/Object-oriented-SLAM

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Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments

https://github.com/Yale-LILY/ConvoSumm

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ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining

https://github.com/YangXiaojie1998/CausalMob

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CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events

https://github.com/YanghaoZYH/HNM-PGD

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Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks

https://github.com/YaoZhang93/Semi-supervised-Cardiac-Image-Segmentation-via-Label-Propagation-and-Style-Transfer

공식 코드

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer

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