Vision / Model
VCP-CLIP, trained on VisA
- Organisation
- Institute of Automation, Chinese Academy of Sciences et al.
- Family
- VCP-CLIP · version train_visa.pth
- Released
- 2024-07-17 (arXiv v1 submission date (https://arxiv.org/abs/2407.12276))
- Checkpoints
- vcp_weight/train_visa.pth
- Weights
- Open
- Links
- PaperCode
Training data disclosure: Full list
Level determined for 12% of benchmark cells.
- TestTest data seen1
- SeenSeen, split unclear0
- TrainTraining data seen0
- Related data seen0
- NoNot seen0
- ?Unknown7
“Therefore, to evaluate ZSAS performance on other datasets, we employ weights trained on VisA's test sets.”
“"train_visa.pth" indicates that the auxiliary training dataset is VisA, which you can utilize to test any products outside of the VisA dataset, and vice versa”
Built on
Everything these base models may have seen is inherited by VCP-CLIP, trained on VisA.
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OpenAI CLIP
· disclosure: Partial list
Evidence
“we adopt the CLIP model with ViT-L-14-336 pretrained by OpenAI [22] by default.”
arxiv.org · paper · Section 4.1, Implementation details · retrieved 2026-10-15
Other declared training data
Benchmark cells
Industrial anomaly detection
Unknown MVTec AD · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Unknown MVTec AD 2 · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Unknown MVTec LOCO AD · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Test data seen VisA · in fine-tuning data: its test split was used for training
Evidence (1)
“Therefore, to evaluate ZSAS performance on other datasets, we employ weights trained on VisA's test sets.”
Unknown Real-IAD · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Unknown MPDD · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Unknown BTAD · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Unknown KolektorSDD2 · unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Notes
Frozen CLIP; learnable prompts and Pre-/Post-VCP modules. Used for all reported zero-shot segmentation results except VisA: MVTec-AD, BSD, GC, KSDD2, MSD, Road, RSDD, BTech (BTAD), DAGM.
Sources
- VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation (ECCV 2024) · paper · retrieved 2026-10-15
- VCP-CLIP README · readme · retrieved 2026-10-15
- utils/dataset.py · code · retrieved 2026-10-15