Cover Image

SAM 2++: Tracking Anything at Any Granularity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jiaming, Liang, Cheng, Yang, Yichun, Zeng, Chenkai, Cui, Yutao, Zhang, Xinwen, Zhou, Xin, Ma, Kai, Wu, Gangshan, Wang, Limin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
by: Zhang, Jiaming, et al.
Published: (2023)

MixFormerV2: Efficient Fully Transformer Tracking
by: Cui, Yutao, et al.
Published: (2023)

Count Anything at Any Granularity
by: Liu, Chang, et al.
Published: (2026)

X-SAM: From Segment Anything to Any Segmentation
by: Wang, Hao, et al.
Published: (2025)

Compress Any Segment Anything Model (SAM)
by: Fan, Juntong, et al.
Published: (2025)

KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
by: Li, Xingyuan, et al.
Published: (2025)

Tracking and Segmenting Anything in Any Modality
by: Zhang, Tianlu, et al.
Published: (2025)

SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation
by: Zhang, Jiaming, et al.
Published: (2025)

Depth Anything with Any Prior
by: Wang, Zehan, et al.
Published: (2025)

SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
by: Fu, Changhong, et al.
Published: (2023)

Anything in Any Scene: Photorealistic Video Object Insertion
by: Bai, Chen, et al.
Published: (2024)

DA$^{2}$: Depth Anything in Any Direction
by: Li, Haodong, et al.
Published: (2025)

SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
by: Zhou, Tao, et al.
Published: (2024)

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images
by: Liang, Yingping, et al.
Published: (2025)

GLAD: Generative Language-Assisted Visual Tracking for Low-Semantic Templates
by: Luo, Xingyu, et al.
Published: (2026)

Motion Anything: Any to Motion Generation
by: Zhang, Zeyu, et al.
Published: (2025)

Place Anything into Any Video
by: Liu, Ziling, et al.
Published: (2024)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
by: Yu, Yang, et al.
Published: (2024)

Deployment-Oriented Session-wise Meta-Calibration for Landmark-Based Webcam Gaze Tracking
by: Zhang, Chenkai
Published: (2026)

X2SAM: Any Segmentation in Images and Videos
by: Wang, Hao, et al.
Published: (2026)

SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos
by: Wu, Tao, et al.
Published: (2024)

VMonarch: Efficient Video Diffusion Transformers with Structured Attention
by: Liang, Cheng, et al.
Published: (2026)

StableDrag: Stable Dragging for Point-based Image Editing
by: Cui, Yutao, et al.
Published: (2024)

Motion-Aware Generative Frame Interpolation
by: Zhang, Guozhen, et al.
Published: (2025)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
by: Yan, Zhiling, et al.
Published: (2024)

CustAny: Customizing Anything from A Single Example
by: Kong, Lingjie, et al.
Published: (2024)

InstructSAM: Segment Any Instance with Any Instructions
by: Yuan, Yuqian, et al.
Published: (2026)

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline
by: Huang, Yuzhi, et al.
Published: (2025)

UV-SAM: Adapting Segment Anything Model for Urban Village Identification
by: Zhang, Xin, et al.
Published: (2024)

SAM3-I: Segment Anything with Instructions
by: Li, Jingjing, et al.
Published: (2025)

RemoteSAM: Towards Segment Anything for Earth Observation
by: Yao, Liang, et al.
Published: (2025)

Dual DETRs for Multi-Label Temporal Action Detection
by: Zhu, Yuhan, et al.
Published: (2024)

TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model
by: Ding, Zhaoyuan, et al.
Published: (2026)

SAM 3: Segment Anything with Concepts
by: Carion, Nicolas, et al.
Published: (2025)

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
by: Guo, Hailong, et al.
Published: (2025)

VFIMamba: Video Frame Interpolation with State Space Models
by: Zhang, Guozhen, et al.
Published: (2024)

Say Anything with Any Style
by: Tan, Shuai, et al.
Published: (2024)

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
by: Li, Yuchen, et al.
Published: (2024)

SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything
by: Ji, Ge-Peng, et al.
Published: (2023)

HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection
by: Hou, Ruichao, et al.
Published: (2025)