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Found 8 papers, 7 papers with code
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models
To address this issue, we have created GVC data that allows for the combination of grounding and chat capabilities.
Towards Learning a Generalist Model for Embodied Navigation
We conduct extensive experiments to evaluate the performance and generalizability of our model.
3D Question Answering (3D-QA)
Embodied Question Answering
+3
CLEVA: Chinese Language Models EVAluation Platform
With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue.
MP-Former: Mask-Piloted Transformer for Image Segmentation
We present a mask-piloted Transformer which improves masked-attention in Mask2Former for image segmentation.
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
As phrase extraction can be regarded as a $1$D text segmentation problem, we formulate PEG as a dual detection problem and propose a novel DQ-DETR model, which introduces dual queries to probe different features from image and text for object prediction and phrase mask prediction.
Ranked #7 on
Referring Expression Comprehension
on RefCOCO
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation
Our mutual supervision contains two directions.
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
First, to effectively lift the 2D information to stereo volume, we propose depth-wise plane sweeping (DPS) that allows denser connections and extracts depth-guided features.
Multi-View Transformer for 3D Visual Grounding
The multi-view space enables the network to learn a more robust multi-modal representation for 3D visual grounding and eliminates the dependence on specific views.
