diff --git a/index.html b/index.html index 0092da0..4e96f08 100644 --- a/index.html +++ b/index.html @@ -111,7 +111,7 @@

Evaluating Neural Radiance Fields for
ArborCLIP

- Overview of the AgEval benchmarkNeRFs are proposed as an alternative to traditional TLS scans for 3D plant reconstruction, offering cost-effective and efficient modeling from images captured at multipleangles using a smartphone camera, in contrast to the higher expense and extensive processing time required by TLS for multiangle scan registration. + Overview of the NeRFsNeRFs are proposed as an alternative to traditional TLS scans for 3D plant reconstruction, offering cost-effective and efficient modeling from images captured at multipleangles using a smartphone camera, in contrast to the higher expense and extensive processing time required by TLS for multiangle scan registration.

@@ -145,13 +145,10 @@

Dataset Features

- Category Distribution + Category Distribution

- Visualization of AgEval Benchmark Dataset - This treemap illustrates the distribution of datasets used in AgEval for plant - stress identification, classification, and quantification. It contains subcategories, dataset names, and specific class names. Each rectangle - represents a unique class name, with its size proportional to the count of instances. The visualization demonstrates the diversity of plant - stress-related tasks covered by the AgEval framework across various crops and conditions. + Example images input to NeRFs for reconstruction across 3 different scenarios. (A) Scenario I: Indoor single object. (B) Scenario II: Indoor multiple objects. (C) Scenario III:Outdoor scene

@@ -159,12 +156,10 @@

Dataset Features

- Sample Image 3 + Sample Image 3

- Performance comparison on individual tasks of the AgLLM benchmark across different shot settings (0 to 8 shots) for top-4 -performing LLMs. The plots showcase how each task’s performance evolves with increasing shot counts, revealing model-specific and -task-specific trends in few-shot learning capabilities + Workflow for 3D reconstruction and evaluation. The different steps of the above workflow is explained in detail below. @@ -206,21 +201,7 @@

New Benchmark

- -
-
-

BibTeX

- 

-      @misc{
-      title={AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs}, 
-      author=Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri , Asheesh K Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian Aditya Balu Adarsh Krishnamurthy Soumik Sarkar},
-      year={2024},
-      eprint={2406.17720},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={http://arxiv.org/abs/2407.19617},}
-
-
+