1,271 to 1,280 of 5,197 Results
Jun 26, 2025 -
BAE project data
Unknown - 342 B -
MD5: 31670f6026d938a600972cbc1d4188f2
|
Jun 26, 2025 -
BAE project data
C++ Source - 1.6 KB -
MD5: 94bfe5466c4d98e3339d6d62ac041973
|
Jun 26, 2025 -
BAE project data
Unknown - 9.3 MB -
MD5: 37951b5d3bcb66416599f4f1641037cf
|
Jun 26, 2025 -
BAE project data
Python Source Code - 3.8 KB -
MD5: 1b33adf9ac75c00e5e62229594685e15
|
Jun 26, 2025 -
BAE project data
Unknown - 3.4 KB -
MD5: 3e74185b7bcd38da5fca6a2a11d57d17
|
Jun 26, 2025 -
BAE project data
Python Source Code - 3.1 KB -
MD5: 6bd596962bb3ce297db1aaec1c1e49b9
|
Jun 26, 2025 -
BAE project data
Unknown - 8.8 KB -
MD5: a4956a1394faf6d0898dbd260f849662
|
Jun 26, 2025 -
BAE project data
Python Source Code - 11.4 KB -
MD5: aaf1a51a760f73ff4005ea9791fdcfdc
|
Jun 26, 2025
|
Jun 12, 2025 - S-Lab for Advanced Intelligence
Wu, Size; Jin, Sheng; Zhang, Wenwei; Xu, Lumin; Liu, Wentao; Li, Wei; Loy, Chen Change, 2025, "F-LMM: Grounding Frozen Large Multimodal Models", https://doi.org/10.21979/N9/M0U5AV, DR-NTU (Data), V1
Endowing Large Multimodal Models (LMMs) with visual grounding capability can significantly enhance AIs’ understanding of the visual world and their interaction with humans. However, existing methods typically fine-tune the parameters of LMMs to learn additional segmentation token... |
