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20222026
most citedEfficient Multimodal Large Language Models: A Survey

32 citations · 128 across the 27 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

astro-ph.HE2023★ 19 cited

A discovery of Two Slow Pulsars with FAST: "Ronin" from the Globular Cluster M15

Dengke Zhou, Pei Wang, Di Li +26

Globular clusters harbor numerous millisecond pulsars, but long-period pulsars ( ms) are rarely found. In this study, we employed a fast folding algorithm to analyze…

astro-ph.HE2023

X-ray hardening preceding the onset of SGR 1935+2154's radio pulsar phase

Pei Wang, Jian Li, Long Ji +32

Magnetars are neutron stars with extremely strong magnetic fields, frequently powering high-energy activity in X-rays. Pulsed radio emission following some X-ray outbursts have bee…

cs.SD2023★ 1 cited

Transavs: End-To-End Audio-Visual Segmentation With Transformer

Yuhang Ling, Yuxi Li, Zhenye Gan +3

Audio-Visual Segmentation (AVS) is a challenging task, which aims to segment sounding objects in video frames by exploring audio signals. Generally AVS faces two key challenges: (1…

cs.CV2023★ 1 cited

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection

Liang Liu, Boshen Zhang, Jiangning Zhang +6

Scale variation across object instances remains a key challenge in object detection task. Despite the remarkable progress made by modern detection models, this challenge is particu…

cs.CV2023

Calibrated Teacher for Sparsely Annotated Object Detection

Haohan Wang, Liang Liu, Boshen Zhang +6

Fully supervised object detection requires training images in which all instances are annotated. This is actually impractical due to the high labor and time costs and the unavoidab…

cs.CV2023★ 18 cited

Iterative Few-shot Semantic Segmentation from Image Label Text

Haohan Wang, Liang Liu, Wuhao Zhang +5

Few-shot semantic segmentation aims to learn to segment unseen class objects with the guidance of only a few support images. Most previous methods rely on the pixel-level label of…