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Tell Codec What Worth Compressing: Semantically Disentangled Image
  Coding for Machine with LMMs

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs

16 August 2024
Jinming Liu
Yuntao Wei
Junyan Lin
Shengyang Zhao
Heming Sun
Zhibo Chen
Wenjun Zeng
Xin Jin
ArXivPDFHTML

Papers citing "Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs"

3 / 3 papers shown
Title
CAMU: Context Augmentation for Meme Understanding
CAMU: Context Augmentation for Meme Understanding
Girish A. Koushik
Diptesh Kanojia
Helen Treharne
Aditya Joshi
VLM
91
0
0
24 Apr 2025
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
247
4,186
0
30 Jan 2023
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
1