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. However, existing methods rely heavily …
impressive capabilities in multimodal understanding. However, existing methods rely heavily …
HyperSeg: Towards Universal Visual Segmentation with Large Language Model
This paper aims to address universal segmentation for image and video perception with the
strong reasoning ability empowered by Visual Large Language Models (VLLMs). Despite …
strong reasoning ability empowered by Visual Large Language Models (VLLMs). Despite …
One token to seg them all: Language instructed reasoning segmentation in videos
We introduce VideoLISA, a video-based multimodal large language model designed to
tackle the problem of language-instructed reasoning segmentation in videos. Leveraging the …
tackle the problem of language-instructed reasoning segmentation in videos. Leveraging the …
HTACPE: A Hybrid Transformer with Adaptive Content and Position Embedding for Sample Learning Efficiency of Hyperspectral Tracker
Transformer architecture has demonstrated significant potential in hyperspectral object
tracking by leveraging global correlation learning to accurately represent the data …
tracking by leveraging global correlation learning to accurately represent the data …
DyRoNet: A Low-Rank Adapter Enhanced Dynamic Routing Network for Streaming Perception
Autonomous driving systems demand real-time, accurate perception to navigate complex
environments. Addressing this, we introduce the Dynamic Router Network (DyRoNet), a …
environments. Addressing this, we introduce the Dynamic Router Network (DyRoNet), a …
[PDF][PDF] DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
The advancement of autonomous driving systems hinges on the ability to achieve low-
latency and high-accuracy perception. To address this critical need, this paper introduces …
latency and high-accuracy perception. To address this critical need, this paper introduces …
LLMs Can Evolve Continually on Modality for -Modal Reasoning
J Yu, H Xiong, L Zhang, H Diao, Y Zhuge… - The Thirty-eighth Annual … - openreview.net
Multimodal Large Language Models (MLLMs) have gained significant attention due to their
impressive capabilities in multimodal understanding. However, existing methods rely heavily …
impressive capabilities in multimodal understanding. However, existing methods rely heavily …
Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
CS Lin, MH Chen, IJ Liu, CY Wang, S Liu, YCF Wang - openreview.net
Referring Video Object Segmentation (RVOS) aims to segment the object referred to by the
query sentence in the video. Most existing methods require end-to-end training with dense …
query sentence in the video. Most existing methods require end-to-end training with dense …