几篇论文实现代码：
《HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation》(ACL 2023) GitHub: github.com/Yuanhy1997/HyPe [fig7]
《Fully Attentional Networks with Selfemerging Token Labeling》(ICCV 2023) GitHub: github.com/NVlabs/STL [fig3]
《Generating Instance-level Prompts for Rehearsal-free Continual Learning》(ICCV 2023) GitHub: github.com/naver-ai/dap-cl [fig8]
《Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers》(ICCV 2023) GitHub: github.com/ZHU-Zhiyu/High-Rank_RGB-Event_Tracker [fig9]
《ODAQ: Open Dataset of Audio Quality》(ICASSP 2024) GitHub: github.com/Netflix-Skunkworks/listening-test-app
《MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction》(SIGGRAPH Asia 2023) GitHub: github.com/yjtang249/MIPSFusion
《Simulation and Retargeting of Complex Multi-Character Interactions》(SIGGRAPH Asia 2023) GitHub: github.com/JackZhouSz/InteractionGraph
《U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation》(2024) GitHub: github.com/bowang-lab/U-Mamba [fig2]
《The Critique of Critique》(2024) GitHub: github.com/GAIR-NLP/MetaCritique
《CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation》(2024) GitHub: github.com/morecry/CharacterEval
《Pheme: Efficient and Conversational Speech Generation》(2024) GitHub: github.com/PolyAI-LDN/pheme
《The Chosen One: Consistent Characters in Text-to-Image Diffusion Models》(2023) GitHub: github.com/ZichengDuan/TheChosenOne [fig1]
《Evalcrafter: Benchmarking and evaluating large video generation models》(2023) GitHub: github.com/evalcrafter/evalcrafter
《One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts》(2023) GitHub: github.com/zhaoziheng/SAT [fig4]
《PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion》(2023) GitHub: github.com/gydpku/PPTC [fig5]
《Adversarial Preference Optimization》(2023) GitHub: github.com/Linear95/APO [fig6]
《MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications》(2023) GitHub: github.com/liuqidong07/MOELoRA-peft
《RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement》(2023) GitHub: github.com/Alibaba-NLP/RankingGPT
《MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation》(2023) GitHub: github.com/MIC-DKFZ/MultiTalent
《Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects》(2023) GitHub: github.com/jyLin8100/GenSAM
《Understanding Social Reasoning in LLMs with LLMs》(2023) GitHub: github.com/cicl-stanford/procedural-evals-tom
《POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images》(2023) GitHub: github.com/vobecant/POP3D
《HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation》(ACL 2023) GitHub: github.com/Yuanhy1997/HyPe [fig7]
《Fully Attentional Networks with Selfemerging Token Labeling》(ICCV 2023) GitHub: github.com/NVlabs/STL [fig3]
《Generating Instance-level Prompts for Rehearsal-free Continual Learning》(ICCV 2023) GitHub: github.com/naver-ai/dap-cl [fig8]
《Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers》(ICCV 2023) GitHub: github.com/ZHU-Zhiyu/High-Rank_RGB-Event_Tracker [fig9]
《ODAQ: Open Dataset of Audio Quality》(ICASSP 2024) GitHub: github.com/Netflix-Skunkworks/listening-test-app
《MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction》(SIGGRAPH Asia 2023) GitHub: github.com/yjtang249/MIPSFusion
《Simulation and Retargeting of Complex Multi-Character Interactions》(SIGGRAPH Asia 2023) GitHub: github.com/JackZhouSz/InteractionGraph
《U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation》(2024) GitHub: github.com/bowang-lab/U-Mamba [fig2]
《The Critique of Critique》(2024) GitHub: github.com/GAIR-NLP/MetaCritique
《CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation》(2024) GitHub: github.com/morecry/CharacterEval
《Pheme: Efficient and Conversational Speech Generation》(2024) GitHub: github.com/PolyAI-LDN/pheme
《The Chosen One: Consistent Characters in Text-to-Image Diffusion Models》(2023) GitHub: github.com/ZichengDuan/TheChosenOne [fig1]
《Evalcrafter: Benchmarking and evaluating large video generation models》(2023) GitHub: github.com/evalcrafter/evalcrafter
《One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts》(2023) GitHub: github.com/zhaoziheng/SAT [fig4]
《PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion》(2023) GitHub: github.com/gydpku/PPTC [fig5]
《Adversarial Preference Optimization》(2023) GitHub: github.com/Linear95/APO [fig6]
《MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications》(2023) GitHub: github.com/liuqidong07/MOELoRA-peft
《RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement》(2023) GitHub: github.com/Alibaba-NLP/RankingGPT
《MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation》(2023) GitHub: github.com/MIC-DKFZ/MultiTalent
《Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects》(2023) GitHub: github.com/jyLin8100/GenSAM
《Understanding Social Reasoning in LLMs with LLMs》(2023) GitHub: github.com/cicl-stanford/procedural-evals-tom
《POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images》(2023) GitHub: github.com/vobecant/POP3D
【特斯拉下调部分X、S、Y、3车型的续航里程预估】特斯拉下调X、S、Y、3等电动车车型的续航里程预估。报道称，特斯拉网站上现在估计Model Y Long Range的续航里程为310英里，而政府的燃油经济性网站列出的同款车型续航里程为330英里。特斯拉将Model Y的续航里程预估从303英里下调至285英里。美国国家环境保护局（EPA）的一项新规定要求汽车制造商测试在“默认”驾驶模式下电动汽车的续驶里程和燃油效率。#第43届中国·福州国际汽车展览会##福建车展##福州五一国际车展##汽车生活#
【特斯拉下调部分X、S、Y、3车型的续航里程预估】特斯拉下调X、S、Y、3等电动车车型的续航里程预估。报道称，特斯拉网站上现在估计Model Y Long Range的续航里程为310英里，而政府的燃油经济性网站列出的同款车型续航里程为330英里。特斯拉将Model Y的续航里程预估从303英里下调至285英里。美国国家环境保护局（EPA）的一项新规定要求汽车制造商测试在“默认”驾驶模式下电动汽车的续驶里程和燃油效率。#第43届中国·福州国际汽车展览会# #福建车展# #福州五一国际车展# #汽车生活#
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