feat: update README.md - add assets

README.md

@@ -9,6 +9,44 @@ This repo is the Pytorch Code of  DAGM-Mono: Deformable Attention-Guided Modelin
 <img src="./assets\DAGM-Mono.png" alt="drawing" width="800"/>
 
 
+## Qualitative results on ApolloCar3D - Projection on original images:
+<img src="./assets\1.png" alt="drawing" width="400"/>
+<img src="./assets\2.png" alt="drawing" width="400"/>
+<img src="./assets\3.png" alt="drawing" width="400"/>
+<img src="./assets\4.png" alt="drawing" width="400"/>
+<img src="./assets\5.png" alt="drawing" width="400"/>
+<img src="./assets\6.png" alt="drawing" width="400"/>
+
+
+## Main Results on ApolloCar3D - Car Instance Benchmark:
+
+Main A3DP-Abs metrics on ApolloCar3D - Car Instance Benchmark (Validation Set)
+
+| Experiment | Mean | c0 | c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Baseline          | 0.2363 | 0.4565 | 0.4195 | 0.3686 | 0.3197 | 0.2785 | 0.2204 | 0.155 | 0.099 | 0.0453 |
+| Dual Cross-Att.   | 0.2331 | 0.4561 | 0.4169 | 0.3682 | 0.3285 | 0.2642 | 0.2076 | 0.1485 | 0.0931 | 0.0376 |
+| Deformable Att.   | 0.2437 | 0.4621 | 0.4296 | 0.3873 | 0.3345 | 0.2801 | 0.2237 | 0.1646 | 0.106 | 0.0474 |
+| Chamfer loss      | 0.2349 | 0.4545 | 0.4122 | 0.3702 | 0.3277 | 0.2703 | 0.2122 | 0.1582 | 0.0986 | 0.0394 |
+| H. Cham. loss L2  | 0.2454 | 0.4659 | 0.4236 | 0.3905 | 0.3353 | 0.2805 | 0.2273 | 0.1713 | 0.1083 | 0.0474 |
+| H. Cham. loss L3  | 0.2476 | 0.4693 | 0.4318 | 0.3918 | 0.342 | 0.2859 | 0.2256 | 0.1661 | 0.1121 | 0.0501 |
+| H. Cham. + D-Att  | **0.2548** | **0.4734** | **0.438** | **0.3949** | **0.3494** | **0.2995** | **0.2402** | **0.1758** | **0.1142** | 0.0527 |
+
+Main A3DP-Rel metrics on ApolloCar3D - Car Instance Benchmark (Validation Set)
+
+Sure, here is the converted markdown table:
+
+| Experiment | Mean | c0 | c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Baseline          | 0.2189 | 0.4566 | 0.408 | 0.3627 | 0.2982 | 0.2479 | 0.1913 | 0.1246 | 0.0731 | 0.0237 |
+| Dual Cross-Att.   | 0.2134 | 0.4487 | 0.4033 | 0.349 | 0.2957 | 0.2378 | 0.1741 | 0.1179 | 0.0678 | 0.0291 |
+| Deformable Att.   | 0.2249 | 0.4593 | 0.4085 | **0.3683** | 0.3157 | 0.2515 | 0.1927 | 0.1376 | 0.0804 | 0.0336 |
+| Chamfer loss      | 0.2172 | 0.4443 | 0.4027 | 0.3554 | 0.3062 | 0.2467 | 0.1893 | 0.1254 | 0.0685 | 0.0293 |
+| H. Cham. loss L2  | 0.226 | **0.4652** | 0.4158 | 0.3671 | 0.314 | 0.2499 | 0.1955 | 0.1389 | 0.0796 | 0.0288 |
+| H. Cham. loss L3  | 0.2279 | 0.4609 | **0.4202** | 0.3657 | **0.3213** | 0.2515 | 0.2006 | **0.1401** | **0.0856** | 0.0304 |
+| H. Cham. + D-Att  | **0.2301** | 0.4646 | 0.4152 | 0.3657 | 0.3181 | **0.2631** | **0.2081** | 0.1384 | 0.0809 | **0.0355** |
+
+
 ## Data setting
 You need to set directory path as below
 ```
@@ -103,4 +141,4 @@ To run inference, update the weights path in the yaml config file and run:
 ```
 
 ## License
-DAGM-Mono is released under MIT license (see LICENSE). It is developed based on a forked version of BAAM. We also used code from OFMPNet, Swin-Transformer and FMFNet. Note that the used dataset (ApolloCar3D) is subject to their respective licenses and may not grant commercial use.
+DAGM-Mono is released under MIT license (see LICENSE). It is developed based on a forked version of `BAAM`. We also used code from `OFMPNet`, `Swin-Transformer` and `FMFNet`. Note that the used dataset (ApolloCar3D) is subject to their respective licenses and may not grant commercial use.