Datasetpublic

Yingying11/semantic_patch_cache

HeatTok Semantic Patch Cache Precomputed .pt caches for HeatTok. Use with HEATTOK_SEMANTIC_CACHE_DIR=/path/to/cache. Filename pattern: {image_hash}_g1_s28.pt or {image_hash}_g1_gd1_s28.pt semantic_patch_cache_vrsbench Dataset: VRSBench (512×512) Caches do not store precomputed global tokens or patch orientations. Gaussian parameters and patch metadata are stored. No need to regenerate .pt files — HeatTok computes global tokens and orientations online at load… See the full description on the dataset page: https://huggingface.co/datasets/Yingying11/semantic_patch_cache.

sourceHugging Faceupdated 22d agoView on Hugging Face

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Dataset Card

HeatTok Semantic Patch Cache

Precomputed .pt caches for HeatTok. Use with HEATTOK_SEMANTIC_CACHE_DIR=/path/to/cache.

Filename pattern: {image_hash}_g1_s28.pt or {image_hash}_g1_gd1_s28.pt

semanticpatchcache_vrsbench

—Dataset: VRSBench (512×512)
—Caches do not store precomputed global tokens or patch orientations.
—Gaussian parameters and patch metadata are stored.
—No need to regenerate .pt files — HeatTok computes global tokens and orientations online at load time.

semanticpatchcache_earthvqa

—Dataset: EarthVQA (1024×1024)
—Caches use global downsample divisor 1 (gd1).
—To use divisor 8 (gd8), no regeneration needed — global branch is rebuilt online from the image processor.

Usage

bash

export HEATTOK_SEMANTIC_CACHE_DIR=/path/to/semantic_patch_cache_vrsbench  # or earthvqa

yaml

use_semantic_patches: true
global_downsample: true
semantic_patch_size: 28