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DeiSAM: Segment Anything with Deictic Prompting

DeiSAM: Segment Anything with Deictic Prompting

21 February 2024
Hikaru Shindo
Manuel Brack
Gopika Sudhakaran
D. Dhami
P. Schramowski
Kristian Kersting
    VLM
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Papers citing "DeiSAM: Segment Anything with Deictic Prompting"

4 / 4 papers shown
Title
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
D. Dhami
Kristian Kersting
33
3
0
15 Oct 2024
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision
Jiani Huang
Ziyang Li
Mayur Naik
Ser-Nam Lim
30
3
0
15 Apr 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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