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Found 6 papers, 3 papers with code
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
In this paper, we propose UnifiedMLLM, a comprehensive model designed to represent various tasks using a unified representation.
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
For negative knowledge, we propose an innovative self-adversarial approach that generates low-quality rationales by sampling previous iterations of smaller language models, embracing the idea that one can learn from one's own weaknesses.
GroundingGPT:Language Enhanced Multi-modal Grounding Model
Beyond capturing global information like other multi-modal models, our proposed model excels at tasks demanding a detailed understanding of local information within the input.
MagFace: A Universal Representation for Face Recognition and Quality Assessment
This paper proposes MagFace, a category of losses that learn a universal feature embedding whose magnitude can measure the quality of the given face.
Ranked #1 on
Face Verification
on IJB-C
(training dataset metric)
Visible Feature Guidance for Crowd Pedestrian Detection
Then we perform NMS only on visible bounding boxes to achieve the best fitting full box in inference.
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner.
Ranked #6 on
Scene Text Detection
on SCUT-CTW1500
