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2D Classification

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코드

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

https://github.com/cgaroufis/msspt

공식 코드

Pre-training Music Classification Models via Music Source Separation

https://github.com/cgcl-codes/badhash

공식 코드

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label

https://github.com/cgcl-codes/numbod

공식 코드

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

https://github.com/cgtuebingen/learning-blind-motion-deblurring

공식 코드

Learning Blind Motion Deblurring

https://github.com/ch-sa/labelCloud

공식 코드

labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds

https://github.com/chahuja/mix-stage

공식 코드

Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach

https://github.com/chakkritte/eeea-net

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EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

https://github.com/chakravarthi589/event-based-vision_resources

공식 코드

Recent Event Camera Innovations: A Survey

https://github.com/chanchanchan97/icafusion

공식 코드

ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection

https://github.com/chandagrover/sem-cs

공식 코드

Sem-CS: Semantic CLIPStyler for Text-Based Image Style Transfer

https://github.com/chandlerbing65nm/apdetection

공식 코드

Improving the Detection of Small Oriented Objects in Aerial Images

https://github.com/changsn/STViT-R

공식 코드

Making Vision Transformers Efficient from A Token Sparsification View

https://github.com/chanyn/HKRM

공식 코드

Hybrid Knowledge Routed Modules for Large-scale Object Detection

https://github.com/chaofengc/Face-Sketch

공식 코드

Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

https://github.com/chaofengc/PSFRGAN

공식 코드

Progressive Semantic-Aware Style Transformation for Blind Face Restoration

https://github.com/chaojiang06/wiki-auto

공식 코드

Neural CRF Model for Sentence Alignment in Text Simplification

https://github.com/chaoqichen/HTCN

공식 코드

Harmonizing Transferability and Discriminability for Adapting Object Detectors

https://github.com/chaowentao/maskblur

공식 코드

MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution

https://github.com/chaoxiao12/moving-object-detection-in-satellite-videos-hieum

공식 코드

Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos

https://github.com/charles-ydd/trojanrag

공식 코드

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

https://github.com/charlesq34/frustum-pointnets

공식 코드

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/charlesyou999648/morse

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Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

https://github.com/chasel-tsui/mmdet-rfla

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RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

https://github.com/chasel-tsui/mmrotate-dcfl

공식 코드

Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

https://github.com/chasesecurity/spamdam

공식 코드

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection

https://github.com/chatc/longdialsumm

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An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

https://github.com/chaytonmin/occ-bev

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UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving

https://github.com/chaytonmin/occupancy-mae

공식 코드

Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

https://github.com/chaytonmin/uniscene

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UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving

https://github.com/chaytonmin/voxel-mae

공식 코드

Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

https://github.com/cheerss/CrossFormer

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CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

https://github.com/cheind/pytorch-blender

공식 코드

BlendTorch: A Real-Time, Adaptive Domain Randomization Library

https://github.com/cheliosoops/bitq

공식 코드

BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices

https://github.com/cheliu-computation/g2d-neurips24

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G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training

https://github.com/cheliu-computation/m-flag-miccai2023

공식 코드

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization

https://github.com/cheliu-computation/medsyn-replearn

공식 코드

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images

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