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Found 10 papers, 5 papers with code
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
Small object detection in intricate environments has consistently represented a major challenge in the field of object detection.
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers
To this end, in this paper, we propose a Progressive Fine-to-Coarse Reconstruction (PFCR) method for accurate PTQ, which significantly improves the performance of low-bit quantized vision transformers.
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
In recent years, research on RGB SR has shown that models pre-trained on large-scale benchmark datasets can greatly improve performance on unseen data, which may stand as a remedy for HSI.
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection
Therefore, an effective solution involves transforming monocular images into LiDAR-like representations and employing a LiDAR-based 3D object detector to predict the 3D coordinates of objects.
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs
We construct a hierarchical task tree encompassing 7 major areas covering over 200 categories and over 800 tasks, which covers diverse capabilities such as question answering, reasoning, multiturn dialogue, and text generation, to evaluate LLMs in a comprehensive and in-depth manner.
A survey of Transformer applications for histopathological image analysis: New developments and future directions
Transformers have been widely used in many computer vision challenges and have shown the capability of producing better results than convolutional neural networks (CNNs).
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection
The key in our ESGN is an efficient geometry-aware feature generation (EGFG) module.
A Hierarchical Location Normalization System for Text
We propose a system named ROIBase that normalizes the text by the Chinese hierarchical administrative divisions.
Enriched Feature Guided Refinement Network for Object Detection
For a 320x320 input on the MS COCO test-dev, our detector achieves state-of-the-art single-stage detection accuracy with a COCO AP of 33. 2 in the case of single-scale inference, while operating at 21 milliseconds on a Titan XP GPU.
A Dynamic Evolutionary Framework for Timeline Generation based on Distributed Representations
Given the collection of timestamped web documents related to the evolving topic, timeline summarization (TS) highlights its most important events in the form of relevant summaries to represent the development of a topic over time.
