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1.【语义分割】Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
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论文地址：https://arxiv.org//pdf/2311.12651
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工程主页：Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
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开源代码（即将开源）：GitHub - WHU-USI3DV/Mobile-Seed: [Arxiv'23] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
2.【医学图像分割】Semi-supervised Medical Image Segmentation via Query Distribution Consistency
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论文地址：https://arxiv.org//pdf/2311.12364
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开源代码（即将开源）：https://github.com/Rows21/DK-UXNet
3.【超分辨率重建】Swift Parameter-free Attention Network for Efficient Super-Resolution
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论文地址：https://arxiv.org//pdf/2311.12770
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开源代码：GitHub - hongyuanyu/SPAN: Swift Parameter-free Attention Network for Efficient Super-Resolution
4.【域自适应】（WACV2024）GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap
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论文地址：https://arxiv.org//pdf/2311.12467
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开源代码：GitHub - KHU-VLL/GLAD
5.【多模态】ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
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论文地址：https://arxiv.org//pdf/2311.12793
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工程主页：ShareGPT4V
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开源代码（即将开源）：https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V
6.【多模态】GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
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论文地址：https://arxiv.org//pdf/2311.12631
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工程主页：GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
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开源代码（即将开源）：GitHub - jiaxilv/GPT4Motion
7.【多模态】From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
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论文地址：https://arxiv.org//pdf/2311.12391
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开源代码（即将开源）：GitHub - para-lost/ReVisE: init
8.【多模态】ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability
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论文地址：https://arxiv.org//pdf/2311.12327
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开源代码（即将开源）：GitHub - AnonymGiant/ViLaM
9.【多模态】Boosting Audio-visual Zero-shot Learning with Large Language Models
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论文地址：https://arxiv.org//pdf/2311.12268
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开源代码（即将开源）：GitHub - chenhaoxing/KDA: This repository is the code of paper 'Boosting Audio-visual Zero-shot Learning with Large Language Models'.
10.【多模态】Enhancing Novel Object Detection via Cooperative Foundational Models
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论文地址：https://arxiv.org//pdf/2311.12068
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开源代码（即将开源）：GitHub - rohit901/cooperative-foundational-models: Official code for our paper "Enhancing Novel Object Detection via Cooperative Foundational Models"
11.【自动驾驶：Occupancy Prediction】SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
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论文地址：https://arxiv.org//pdf/2311.12754
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开源代码（即将开源）：GitHub - huang-yh/SelfOcc: SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
12.【Diffusion】Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
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论文地址：https://arxiv.org//pdf/2311.12092
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开源代码：GitHub - rohitgandikota/sliders: Concept Sliders for Precise Control of Diffusion Models
13.【目标计数】Point, Segment and Count: A Generalized Framework for Object Counting
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论文地址：https://arxiv.org//pdf/2311.12386
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开源代码（即将开源）：GitHub - Hzzone/PseCo
14.【视频生成】MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
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论文地址：https://arxiv.org//pdf/2311.12052
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工程主页：MagicDance: Realistic Human Dance Video Generationwith Motions & Facial Expressions Transfer.
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开源代码（即将开源）：GitHub - Boese0601/MagicDance: MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
15.【三维重建】TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing
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论文地址：https://arxiv.org//pdf/2311.12602
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工程主页：TouchSDF
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开源代码：GitHub - maurock/TouchSDF: Implementation of the DeepSDF paper
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