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- PaperAdaGround: Token-Normalized Adaptive Zooming with Verifier-in-the-Loop Refinement for GUI Grounding
GUI grounding on high-resolution screens fails mostly on small targets, and zooming in is a common training-free remedy. However, most existing zooming pipelines do not m
- Datasetamaissen/so101-pick-and-place-variation
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names":
- Datasetamaissen/so101-pick-and-place-vv3
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names":
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- PaperRangeRectQuant: Compressing Scientific Fields for Every Future Rectangular Sum
Scientific rasters are often stored before the regions to be measured are known. Independent pixel-error bounds can force exact integer reconstruction when one absolute e
- Datasetmissycuo/korean-asr-alive
Alive - Korean ASR Dataset Dataset ASR trích xuất thoại tiếng Hàn và phụ đề tiếng Việt từ phim/tập: Alive. Cấu trúc dữ liệu movie_name: Đường dẫn phân cấp gốc audio_id: I
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- Dataseteduzrh/PhyWorld-KGC_Datasets
PhyWorld-KGC: Spatio-Temporal Knowledge Graph Completion Benchmarks Six spatio-temporal KGC (STKGC) benchmark datasets in which every fact carries a location in addition
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- DatasetSamruddhiThorat07/rollout_red_A_temporal_20261027_143738
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names":
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- DatasetZUO66/g1-pysensing-20261021
G1 PySensing recordings — 2026-10-21 This public dataset preserves the complete available 2026-10-21 recording batch: 21 camera sessions, two continuous millimeter-wave r
- PaperTail Cues, Principal Corrections: Plug-and-Play Rectification for Open-Set Test-Time Adaptation
Open-Set Test-Time Adaptation (OSTTA) operates on non-stationary target streams where covariate and semantic shifts coexist. Existing TTA methods often obtain adaptation
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- ModelDemonAlone/Krea2 Turbo, T2I, I2I, Inpaint, adetailer, prompt styles, SeedVR2, civitai metadata, caption
Pretty simple workflow for Krea 2 turbo , similar as my other workflows for Z-image , Flux 2 Klein and Qwen 1 . I had to do a downgrade of my node Save Image because I sp
- DatasetSamruddhiThorat07/rollout_red_A_temporal_20261027_143614
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names":
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- DatasetSamruddhiThorat07/rollout_red_A_temporal_20261027_143509
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names":
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