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Found 16 papers, 6 papers with code
Unsupervised Video Object Segmentation with Joint Hotspot Tracking
We reformulate the problem of detecting and tracking of salient object spots as a new task called object hotspot tracking.
ReNeg: Learning Negative Embedding with Reward Guidance
In text-to-image (T2I) generation applications, negative embeddings have proven to be a simple yet effective approach for enhancing generation quality.
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
To further enhance performance, we propose sparsely coded residuals to reduce the errors caused by low-rank approximation on the first- and second-order moments of the optimizers and weight updates.
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models
They often fail to effectively decouple motion and the appearance in the limited reference videos, thereby weakening the modeling capability of motion patterns.
LLMs Can Evolve Continually on Modality for X-Modal Reasoning
Multimodal Large Language Models (MLLMs) have gained significant attention due to their impressive capabilities in multimodal understanding.
GLRT-Based Metric Learning for Remote Sensing Object Retrieval
We reorganize datasets for CBRSOR tasks based on fine-grained ship remote sensing image slices (FGSRSI-23) and military aircraft recognition (MAR20) datasets.
A Marginal Distributionally Robust Kalman Filter for Centralized Fusion
State estimation is a fundamental problem for multi-sensor information fusion, essential in applications such as target tracking, power systems, and control automation.
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset.
Multi-agent Collaborative Perception via Motion-aware Robust Communication Network
Collaborative perception allows for information sharing between multiple agents such as vehicles and infrastructure to obtain a comprehensive view of the environment through communication and fusion.
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models
In this paper, we propose MagicRemover, a tuning-free method that leverages the powerful diffusion models for text-guided image inpainting.
Video Diffusion Models with Local-Global Context Guidance
We construct a local-global context guidance strategy to capture the multi-perceptual embedding of the past fragment to boost the consistency of future prediction.
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection
Conversely, detection task furnishes object semantic information to improve the infrared and visible image fusion.
Multi-Object Tracking Meets Moving UAV
Multi-object tracking in unmanned aerial vehicle (UAV) videos is an important vision task and can be applied in a wide range of applications.
Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion
To solve this problem, this paper presents a new homogeneous transformation model termed deep homogeneous feature fusion (DHFF) based on image style transfer (IST).
ROI Pooled Correlation Filters for Visual Tracking
The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection methods.
A Bi-Directional Message Passing Model for Salient Object Detection
In this paper, we propose a novel bi-directional message passing model to integrate multi-level features for salient object detection.
Ranked #2 on
RGB Salient Object Detection
on ISTD
