Update README.md
#7
by
SiweiWu
- opened
README.md
CHANGED
|
@@ -42,18 +42,13 @@ dataset_info:
|
|
| 42 |
|
| 43 |
This is the repo for the paper [SciMMIR： Benchmarking Scientific Multi-modal Information Retrieval](https://arxiv.org/abs/2401.13478).
|
| 44 |
|
| 45 |
-
|
| 46 |
-
<img src=./imgs/Framework.png width=80% />
|
| 47 |
-
</div>
|
| 48 |
-
|
| 49 |
|
| 50 |
In this paper, we propose a novel SciMMIR benchmark and a corresponding dataset designed to address the gap in evaluating multi-modal information retrieval (MMIR) models in the scientific domain.
|
| 51 |
|
| 52 |
It is worth mentioning that we define a data hierarchical architecture of "Two subsets, Five subcategories" and use human-created keywords to classify the data (as shown in the table below).
|
| 53 |
|
| 54 |
-
|
| 55 |
-
<img src=./imgs/data_architecture.png width=50% />
|
| 56 |
-
</div>
|
| 57 |
|
| 58 |
|
| 59 |
As shown in the table below, we conducted extensive baselines (both fine-tuning and zero-shot) within various subsets and subcategories.
|
|
|
|
| 42 |
|
| 43 |
This is the repo for the paper [SciMMIR： Benchmarking Scientific Multi-modal Information Retrieval](https://arxiv.org/abs/2401.13478).
|
| 44 |
|
| 45 |
+
|
|
|
|
|
|
|
|
|
|
| 46 |
|
| 47 |
In this paper, we propose a novel SciMMIR benchmark and a corresponding dataset designed to address the gap in evaluating multi-modal information retrieval (MMIR) models in the scientific domain.
|
| 48 |
|
| 49 |
It is worth mentioning that we define a data hierarchical architecture of "Two subsets, Five subcategories" and use human-created keywords to classify the data (as shown in the table below).
|
| 50 |
|
| 51 |
+
|
|
|
|
|
|
|
| 52 |
|
| 53 |
|
| 54 |
As shown in the table below, we conducted extensive baselines (both fine-tuning and zero-shot) within various subsets and subcategories.
|