We lifted 12 functions out of this paper's own repositories and ran 7 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| XiaoxiaoGuo/fashion-iq | canonical | 1 of 1 |
| hssip/fashionsap | pwc_unofficial | 5 of 10 |
| copy not recorded | — | 1 of 1 |
| Function | Status | Where it lives |
|---|---|---|
| acc_eval | Ran | hssip/fashionsap/fashion_catereg.py code served (permissive licence) · get_code("ea09138f37a962f8") |
| attention | Ran | XiaoxiaoGuo/fashion-iq/transformer/interactive_retrieval/models.py pointer only (licence: NONE) · get_code("875f05a473ae1687") |
| conv1x1 | Ran | hssip/fashionsap/models/resnet.py code served (permissive licence) · get_code("2a80220dabcb742a") |
| conv3x3 | Ran | hssip/fashionsap/models/resnet.py code served (permissive licence) · get_code("600ff2c45e0de056") |
| get_clones | Ran | this paper's copy was not recorded; identical code first harvested from arshadshk/SAINT-pytorch pointer only · get_code("891b8ebab395921f") |
| interpolate_pos_embed | Ran | hssip/fashionsap/models/vit.py code served (permissive licence) · get_code("c6ec173f19f5c34d") |
| numpy_to_python | Ran | hssip/fashionsap/prepare_dataset.py code served (permissive licence) · get_code("96c16bbc416eedfb") |
| concat_all_gather | Not yet run | hssip/fashionsap/models/model_fashion_pretrain.py code served (permissive licence) · get_code("73cecca9f3575f09") |
| itm_eval | Not yet run | hssip/fashionsap/fashion_retrieval.py code served (permissive licence) · get_code("a27c5ba736300cb3") |
| itm_eval | Not yet run | hssip/fashionsap/fashion_tgir.py code served (permissive licence) · get_code("7ccaf9ff38a2204b") |
| load_tf_weights_in_bert | Not yet run | hssip/fashionsap/models/xbert.py code served (permissive licence) · get_code("26be70dca3249c0b") |
| resnet18 | Not yet run | hssip/fashionsap/models/resnet.py code served (permissive licence) · get_code("c645f4947c305a25") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Conversational interfaces for the detail-oriented retail fashion domain are more natural, expressive, and user friendly than classical keyword-based search interfaces. In this paper, we introduce the Fashion IQ dataset to support and advance research on interactive fashion image retrieval. Fashion IQ is the first fashion dataset to provide human-generated captions that distinguish similar pairs of garment images together with side-information consisting of real-world product descriptions and derived visual attribute labels for these images. We provide a detailed analysis of the characteristics of the Fashion IQ data, and present a transformer-based user simulator and interactive image retriever that can seamlessly integrate visual attributes with image features, user feedback, and dialog history, leading to improved performance over the state of the art in dialog-based image retrieval. We believe that our dataset will encourage further work on developing more natural and real-world applicable conversational shopping assistants.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("1905.12794")
get_code_for_paper("1905.12794")
have("1905.12794")
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