Superseded baseline#49 of 80 most-superseded
AdaLog
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerLLM quantization · first seen Jul 17, 2024
superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 1 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating AdaLog. Values are copied from the source paper's tables — verify against the cited paper.
- FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
FIMA-Q (Ours) beats AdaLog · top-1 accuracy [W/A 3/3]
64.09 vs 13.88
- FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
FIMA-Q (Ours) beats AdaLog · top-1 accuracy [W/A 6/6]
84.82 vs 84.80
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- COD-TDQWhen W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation QuantizationApr 18, 2026
- Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data GenerationJoint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data GenerationFeb 21, 2026