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Collections including paper arxiv:2408.00714

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

meta-ai-datasets

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

My reading list!

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response

Paper • 2412.14922 • Published Dec 19, 2024 • 88
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published Dec 19, 2024 • 73
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16, 2025 • 72

Papers related to web agents, screen agents, autonomous agents that can mimic human users in computer and/or web use

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
WebArena: A Realistic Web Environment for Building Autonomous Agents

Paper • 2307.13854 • Published Jul 25, 2023 • 27
Mind2Web: Towards a Generalist Agent for the Web

Paper • 2306.06070 • Published Jun 9, 2023 • 21
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Paper • 2410.13232 • Published Oct 17, 2024 • 44

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 53
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 15
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

Segment Anything

Paper • 2304.02643 • Published Apr 5, 2023 • 6
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes

Paper • 2410.24139 • Published Oct 31, 2024
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122
Hierarchical Open-vocabulary Universal Image Segmentation

Paper • 2307.00764 • Published Jul 3, 2023

Object segmentation 🧩

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

AI papers to read

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Prompt is text-based memory. System II prompting is updating memory. Parametric memory is long-term, while prompt-based are short-tem.

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs

Paper • 2409.08775 • Published Sep 13, 2024
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering

Paper • 2409.08250 • Published Sep 12, 2024 • 1
Synthetic continued pretraining

Paper • 2409.07431 • Published Sep 11, 2024 • 5
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13, 2024 • 3

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Segment Anything

Paper • 2304.02643 • Published Apr 5, 2023 • 6
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes

Paper • 2410.24139 • Published Oct 31, 2024
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122
Hierarchical Open-vocabulary Universal Image Segmentation

Paper • 2307.00764 • Published Jul 3, 2023

meta-ai-datasets

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Object segmentation 🧩

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7, 2025 • 47
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

My reading list!

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response

Paper • 2412.14922 • Published Dec 19, 2024 • 88
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published Dec 19, 2024 • 73
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16, 2025 • 72

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Papers related to web agents, screen agents, autonomous agents that can mimic human users in computer and/or web use

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
WebArena: A Realistic Web Environment for Building Autonomous Agents

Paper • 2307.13854 • Published Jul 25, 2023 • 27
Mind2Web: Towards a Generalist Agent for the Web

Paper • 2306.06070 • Published Jun 9, 2023 • 21
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Paper • 2410.13232 • Published Oct 17, 2024 • 44

AI papers to read

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 53
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 15
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

Prompt is text-based memory. System II prompting is updating memory. Parametric memory is long-term, while prompt-based are short-tem.

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs

Paper • 2409.08775 • Published Sep 13, 2024
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering

Paper • 2409.08250 • Published Sep 12, 2024 • 1
Synthetic continued pretraining

Paper • 2409.07431 • Published Sep 11, 2024 • 5
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13, 2024 • 3

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